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Talking #BlackLinkedIn and DEI with Patricia Gatlin

Talking #BlackLinkedIn and DEI with Patricia Gatlin

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Kumari Trishya
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August 16, 2022
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8 min read
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Hire IQ by HackerEarth is a new initiative in which we speak with recruiters, talent acquisition managers, and hiring managers from across the globe, and ask them pertinent questions on the issues that ail the tech recruiting world.

Next up in this edition is Patricia Gatlin, Diversity Lead/Talent Sourcing Specialist, at Johns Hopkins. She is also the curator of #BlackLinkedin ✊🏾 where she mentions how biased the LinkedIn algorithm is due to which her DEI posts were not getting the same exposure as everyone else.

We keep saying the tech world needs to break out of its “boys only” mode and become more inclusive when the tech we use on an everyday basis could be the very reason that relevant voices like hers are not getting seen, or heard.

All the more reason for this conversation with Patricia—to learn about her journey and understand inclusivity and diversity in the tech world, at a micro level.

Settle in, and let’s get to it!

P.S. If you missed the previous edition of HireIQ where we sat down with Colet Coelho from Recruit CRM, you can read it here 🙂

HackerEarth: You mention on your site that #BlackLinkedin was born out of shared knowledge of how Black and brown voices are discriminated against by the AI on LinkedIn. Have you seen this discrimination on other social sites, too? Could you share a few examples of this discrimination and how it has affected your work in the DEI space?

Patricia: Yes, I have seen it on other sites such as Instagram, Tiktok, Youtube, Facebook, etc.

Algorithmic bias is systemic and it creates unfair circumstances for particular users and promotes access to privilege.

At the root of it all, are the rules – the platforms’ IFTTT framework gets coupled with messages from a certain section of society who may be classist, racist, or phobic.

Let’s be honest, not everyone had a computer when they first came out but guess who did? White affluent males, and therefore they were the first ones in the race while everyone else was catching up. We fail to acknowledge that white males have the most disposable incomes because they are getting paid more. So, if you started with a UX being focused on your target audience being white and having white privilege then, of course, you’re going to see AI issues.

Every mainstream social media platform has discrimination built into it. For example, TikTok is a Chinese-based company in a society that is monoethnic, and consequently, they don’t have to live in a polyethnic society like America, and the platform too, isn’t built to accommodate the nuances of a polyethnic American society. In fact, most countries aren’t polyethnic. Most societies don’t deal with the same racial and cultural constructs that America does. If a society deems whiteness as the most virtuous then a video platform will be biased toward that. We live in a global world that centers privilege and access around whiteness.

POCs in Tech

There is a strong need to be proactive in my quest to support black and brown content over people who are not of color. When I’m building out a talent pipeline I can already assume that if I’m doing a Boolean or X-ray search of Google I will see white candidates first because most likely the algorithm is based on social constructs that don’t support black professionals. Even if you are using YouTube and you search for a video data engineer you will most likely see men, mostly white, and a few men of color.

Why? Because white men most likely had privileged access either to education, the job interview, or to have camera gear to shoot content about their job. As a DEI specialist, it’s my job to find the problem, address it, and correct it with whatever tools I can find. First, I must admit there’s a systemic or institutionalized issue for POC in Tech, and only then can I begin to deconstruct what that looks like for them.

Also, read: 10-Step Diversity Hiring Handbook

HackerEarth: Post creating #BlackLinkedIn, have you seen a change in the way your posts are being received online? Could you detail some of the wins of the movement for us?

Patricia: I have seen a change because the hashtag exists, and people know where to find mine and others’ content on the platform. I think the biggest win of the movement is BIPOCs’ finding each other on the platform, creating safe spaces, and connecting more; which is leading to more people landing opportunities through referrals or getting mentorship.

The hashtag has become a watercooler for us to hang out and tell our truths about what it means to a professional in and outside of the workplace.

We have a long way to go with growing support around it. In addition, I have put up an informative site and added a quarterly virtual event called, The Digital Cookout, where we get to gather and discuss hot topics from the water cooler (hashtag). Our last event was about over employment and how to navigate that as a black or brown professional.

HackerEarth: How do you think the DEI space has evolved since George Floyd and Black Lives Matter? In your opinion, is there an added emphasis on POCs in tech recruiting, or was it just a phase?

Patricia: The DEI space has dramatically changed, there are more activists now than before when everyone was just a human resource professional or community or social justice advocate. DEI has allowed activists, like me, to be considered ‘professionals’ and get paid for the emotional labor we do. Unfortunately, George Floyd had to die for people to really see how racism affects the black community in America. With his death, we saw Fortune 500 companies, and especially tech companies, pledge to become the change we so desperately need.

For some companies, it was just performative because they never put any action behind it or they simply just put money into it and left black and brown people to solve an issue they didn’t create.

Not only that but, many companies secretly support the systematic injustice of black and brown people on the back end. If you donate to politicians or groups who actively support the phobia of blacks, LGBTQ+, women’s rights, etc. then you are canceling out your public displays of advocacy which makes it performative. There’s an added emphasis from those companies now to hire POCs and I’ve seen some great discussions, accelerators, and apprenticeships come out of it but I can’t speak for the results because it may be 2-3 years before we see it.

Also, read: Recruiters Versus Bias: Who’s Winning This War?

HackerEarth: With inflation and layoffs, do you think that the emphasis placed on creating diverse teams in the days right after COVID will be lost?

Patricia: No I don’t think the emphasis will be lost but I believe the reasons could be twisted. Let me explain, junior and mid-level professionals tend to make up the majority of BIPOC. In addition, departments and teams that are deemed unnecessary tend to house a majority of BIPOC for example talent acquisition, administrative, facilities, marketing, etc. When you look at who makes up those teams you will see women and people of color.

The issue with inflation is people are cutting their budgets, but this is the time for companies to start looking at their diversity pipelines and discover what they can do better. Instead, what I see companies doing is, hiring BIPOC in their mid-COVID pipelines for low salaries. They blame it on having a lean budget, but we all know the CEO isn’t getting furloughed. Some companies are targeting BIPOC because they know that inflation can make them desperate. Therefore, some are using diverse pipelines as a lure to keep their ships from sinking and not really because they believe in the mission.

HackerEarth: According to you – what are the top 3 global tech companies who are doing DEI right, and what can others learn from them?

Patricia: If I’m being honest, I don’t co-sign for companies I haven’t been hired to audit myself or been hired at because I have heard horror stories from employees at some of the best companies. We must stop seeing DEI as a badge of honor when it’s actually what should have always been done. You can have the trophy one day and the next it’s been taken away. Don’t incentivize DEI because people will start doing it for the wrong reasons. But if I had to give an answer, from what I’ve heard, Twilio, Microsoft, and Blend (no further comment than that).

Also, read: How To Build Safe And ‘PROUD’ Workplaces – A Personal Story

HackerEarth: What is the on-ground reality among POCs applying for roles in tech? Is there more trust among the community, or are there vital issues that they think are not being addressed?

Patricia: Inflation is not going away or slowing down for another 2-3 years if that.

Hiring freezers are real if you want to get into big tech. Yes, you might be able to snag a contract role but that’s not FTE and people of color need full benefits.

The tech industry has gotten more competitive due to TikTok influencers marketing six-figure salaries and luxury lifestyles. Tech is making it even harder to get an interview or get an offer because tech companies are combating career influencers who give out elaborate narratives about the industry.

We’re also not discussing the Gen Zs who don’t want to work harder but smarter and how that will affect retention rates in the future. Luckily there is more trust amongst POCs who are sharing amazing IRL information about what it means to work in this industry. I love BlackTechTwitter and all the Facebook groups for POCs in different fields. Yet, a vital issue is that there are even more gatekeepers in tech now because of all that I previously mentioned.

HackerEarth: What are 3–5 pieces of advice you have for organizations looking to improve the impact of their D&I strategies?

Patricia: When DEI professionals are burned out they can’t solve problems.

Put your money where the problem is, don’t just say you want to work on DEI strategies and not pay DEI professionals well and then not give them a team to support those efforts.

BIPOCs are just as capable as anyone else but they also need support before, during, and after the interview phase. For every employee it’s going to look different, for example, one might need relocation assistance even if they aren’t a director or VP. The others might need a buddy system or mentorship to guide them through working at your corporation for the first 90 days. Another might simply need a roadmap on how to climb the ladder at your corporation. Have a collaborative plan with your BIPOC so they can become pillars at the job and not just metrics. These are retention methods you should be considering.

Promote black and brown people at the C-Suite level. It’s that simple. Black women are the most educated group in America and eventually the world. Create a seat at the table or be prepared to be sitting alone. The world is becoming more diverse (brown) by the minute and Gen Z will not put up with the same things previous generations have.

Stop taking weeks and months to interview candidates, especially BIPOC because most people are living paycheck to paycheck. The average cost for a company to interview a candidate is 4k and the cost for a candidate to interview with a company given they make it to the last round is half of that. People can’t afford to wait months to go without an answer. Candidates can’t afford to do 3-4 rounds of interviews and an assessment that’s just overkill.

About Patricia Gaitlin

My name is Patricia (Sonja Sky) Gatlin. I’m a New York Times featured activist, DEI Specialist, EdTechie, and Founder of Newbies in Tech. I live in the entertainment capital of the world, Las Vegas, Nevada. I’ve worked 10+ years in Higher Education and 3+ years in Tech. I’ve recently merged the two fields and currently work part-time as a Diversity Lead sourcing and recruiting STEM professionals to teach gifted students. In addition, I’m a full-time Coordinator flexing my project management, instructional design, and community engagement skills. My goal is to inspire people and become a Chief Diversity Officer and Tech influencer.

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Kumari Trishya
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August 16, 2022
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8 min read
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Vibe Coding: Shaping the Future of Software

A New Era of CodeVibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today,...

A New Era of Code

Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems. Our role now goes beyond writing code; we must also ensure that our systems remain efficient and reliable.

From Machine Language to Natural Language

I recall the early days when every line of code was written manually. We progressed from machine language to high-level programming, and now we are beginning to interact with our tools using natural language. This development does not only increase speed but also changes how we approach problem solving. Product managers can now create working demos in hours instead of weeks, and founders have a clearer way of pitching their ideas with functional prototypes. It is important for us to rethink our role as developers and focus on architecture and system design rather than simply on typing code.

The Promise and the Pitfalls

I have experienced both sides of vibe coding. In cases where the goal was to build a quick prototype or a simple internal tool, AI-generated code provided impressive results. Teams have been able to test new ideas and validate concepts much faster. However, when it comes to more complex systems that require careful planning and attention to detail, the output from AI can be problematic. I have seen situations where AI produces large volumes of code that become difficult to manage without significant human intervention.

AI-powered coding tools like GitHub Copilot and AWS’s Q Developer have demonstrated significant productivity gains. For instance, at the National Australia Bank, it’s reported that half of the production code is generated by Q Developer, allowing developers to focus on higher-level problem-solving . Similarly, platforms like Lovable enable non-coders to build viable tech businesses using natural language prompts, contributing to a shift where AI-generated code reduces the need for large engineering teams. However, there are challenges. AI-generated code can sometimes be verbose or lack the architectural discipline required for complex systems. While AI can rapidly produce prototypes or simple utilities, building large-scale systems still necessitates experienced engineers to refine and optimize the code.​

The Economic Impact

The democratization of code generation is altering the economic landscape of software development. As AI tools become more prevalent, the value of average coding skills may diminish, potentially affecting salaries for entry-level positions. Conversely, developers who excel in system design, architecture, and optimization are likely to see increased demand and compensation.​
Seizing the Opportunity

Vibe coding is most beneficial in areas such as rapid prototyping and building simple applications or internal tools. It frees up valuable time that we can then invest in higher-level tasks such as system architecture, security, and user experience. When used in the right context, AI becomes a helpful partner that accelerates the development process without replacing the need for skilled engineers.

This is revolutionizing our craft, much like the shift from machine language to assembly to high-level languages did in the past. AI can churn out code at lightning speed, but remember, “Any fool can write code that a computer can understand. Good programmers write code that humans can understand.” Use AI for rapid prototyping, but it’s your expertise that transforms raw output into robust, scalable software. By honing our skills in design and architecture, we ensure our work remains impactful and enduring. Let’s continue to learn, adapt, and build software that stands the test of time.​

Ready to streamline your recruitment process? Get a free demo to explore cutting-edge solutions and resources for your hiring needs.

Guide to Conducting Successful System Design Interviews in 2025

What is Systems Design?Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.Systems Design, in its...

What is Systems Design?

Systems Design is an all encompassing term which encapsulates both frontend and backend components harmonized to define the overall architecture of a product.

Designing robust and scalable systems requires a deep understanding of application, architecture and their underlying components like networks, data, interfaces and modules.

Systems Design, in its essence, is a blueprint of how software and applications should work to meet specific goals. The multi-dimensional nature of this discipline makes it open-ended – as there is no single one-size-fits-all solution to a system design problem.

What is a System Design Interview?

Conducting a System Design interview requires recruiters to take an unconventional approach and look beyond right or wrong answers. Recruiters should aim for evaluating a candidate’s ‘systemic thinking’ skills across three key aspects:

How they navigate technical complexity and navigate uncertainty
How they meet expectations of scale, security and speed
How they focus on the bigger picture without losing sight of details

This assessment of the end-to-end thought process and a holistic approach to problem-solving is what the interview should focus on.

What are some common topics for a System Design Interview

System design interview questions are free-form and exploratory in nature where there is no right or best answer to a specific problem statement. Here are some common questions:

How would you approach the design of a social media app or video app?

What are some ways to design a search engine or a ticketing system?

How would you design an API for a payment gateway?

What are some trade-offs and constraints you will consider while designing systems?

What is your rationale for taking a particular approach to problem solving?

Usually, interviewers base the questions depending on the organization, its goals, key competitors and a candidate’s experience level.

For senior roles, the questions tend to focus on assessing the computational thinking, decision making and reasoning ability of a candidate. For entry level job interviews, the questions are designed to test the hard skills required for building a system architecture.

The Difference between a System Design Interview and a Coding Interview

If a coding interview is like a map that takes you from point A to Z – a systems design interview is like a compass which gives you a sense of the right direction.

Here are three key difference between the two:

Coding challenges follow a linear interviewing experience i.e. candidates are given a problem and interaction with recruiters is limited. System design interviews are more lateral and conversational, requiring active participation from interviewers.

Coding interviews or challenges focus on evaluating the technical acumen of a candidate whereas systems design interviews are oriented to assess problem solving and interpersonal skills.

Coding interviews are based on a right/wrong approach with ideal answers to problem statements while a systems design interview focuses on assessing the thought process and the ability to reason from first principles.

How to Conduct an Effective System Design Interview

One common mistake recruiters make is that they approach a system design interview with the expectations and preparation of a typical coding interview.
Here is a four step framework technical recruiters can follow to ensure a seamless and productive interview experience:

Step 1: Understand the subject at hand

  • Develop an understanding of basics of system design and architecture
  • Familiarize yourself with commonly asked systems design interview questions
  • Read about system design case studies for popular applications
  • Structure the questions and problems by increasing magnitude of difficulty

Step 2: Prepare for the interview

  • Plan the extent of the topics and scope of discussion in advance
  • Clearly define the evaluation criteria and communicate expectations
  • Quantify constraints, inputs, boundaries and assumptions
  • Establish the broader context and a detailed scope of the exercise

Step 3: Stay actively involved

  • Ask follow-up questions to challenge a solution
  • Probe candidates to gauge real-time logical reasoning skills
  • Make it a conversation and take notes of important pointers and outcomes
  • Guide candidates with hints and suggestions to steer them in the right direction

Step 4: Be a collaborator

  • Encourage candidates to explore and consider alternative solutions
  • Work with the candidate to drill the problem into smaller tasks
  • Provide context and supporting details to help candidates stay on track
  • Ask follow-up questions to learn about the candidate’s experience

Technical recruiters and hiring managers should aim for providing an environment of positive reinforcement, actionable feedback and encouragement to candidates.

Evaluation Rubric for Candidates

Facilitate Successful System Design Interview Experiences with FaceCode

FaceCode, HackerEarth’s intuitive and secure platform, empowers recruiters to conduct system design interviews in a live coding environment with HD video chat.

FaceCode comes with an interactive diagram board which makes it easier for interviewers to assess the design thinking skills and conduct communication assessments using a built-in library of diagram based questions.

With FaceCode, you can combine your feedback points with AI-powered insights to generate accurate, data-driven assessment reports in a breeze. Plus, you can access interview recordings and transcripts anytime to recall and trace back the interview experience.

Learn how FaceCode can help you conduct system design interviews and boost your hiring efficiency.

How Candidates Use Technology to Cheat in Online Technical Assessments

Impact of Online Assessments in Technical Hiring In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers. The ease and...

Impact of Online Assessments in Technical Hiring


In a digitally-native hiring landscape, online assessments have proven to be both a boon and a bane for recruiters and employers.

The ease and efficiency of virtual interviews, take home programming tests and remote coding challenges is transformative. Around 82% of companies use pre-employment assessments as reliable indicators of a candidate's skills and potential.

Online skill assessment tests have been proven to streamline technical hiring and enable recruiters to significantly reduce the time and cost to identify and hire top talent.

In the realm of online assessments, remote assessments have transformed the hiring landscape, boosting the speed and efficiency of screening and evaluating talent. On the flip side, candidates have learned how to use creative methods and AI tools to cheat in tests.

As it turns out, technology that makes hiring easier for recruiters and managers - is also their Achilles' heel.

Cheating in Online Assessments is a High Stakes Problem



With the proliferation of AI in recruitment, the conversation around cheating has come to the forefront, putting recruiters and hiring managers in a bit of a flux.



According to research, nearly 30 to 50 percent of candidates cheat in online assessments for entry level jobs. Even 10% of senior candidates have been reportedly caught cheating.

The problem becomes twofold - if finding the right talent can be a competitive advantage, the consequences of hiring the wrong one can be equally damaging and counter-productive.

As per Forbes, a wrong hire can cost a company around 30% of an employee's salary - not to mention, loss of precious productive hours and morale disruption.

The question that arises is - "Can organizations continue to leverage AI-driven tools for online assessments without compromising on the integrity of their hiring process? "

This article will discuss the common methods candidates use to outsmart online assessments. We will also dive deep into actionable steps that you can take to prevent cheating while delivering a positive candidate experience.

Common Cheating Tactics and How You Can Combat Them


  1. Using ChatGPT and other AI tools to write code

    Copy-pasting code using AI-based platforms and online code generators is one of common cheat codes in candidates' books. For tackling technical assessments, candidates conveniently use readily available tools like ChatGPT and GitHub. Using these tools, candidates can easily generate solutions to solve common programming challenges such as:
    • Debugging code
    • Optimizing existing code
    • Writing problem-specific code from scratch
    Ways to prevent it
    • Enable full-screen mode
    • Disable copy-and-paste functionality
    • Restrict tab switching outside of code editors
    • Use AI to detect code that has been copied and pasted
  2. Enlist external help to complete the assessment


    Candidates often seek out someone else to take the assessment on their behalf. In many cases, they also use screen sharing and remote collaboration tools for real-time assistance.

    In extreme cases, some candidates might have an off-camera individual present in the same environment for help.

    Ways to prevent it
    • Verify a candidate using video authentication
    • Restrict test access from specific IP addresses
    • Use online proctoring by taking snapshots of the candidate periodically
    • Use a 360 degree environment scan to ensure no unauthorized individual is present
  3. Using multiple devices at the same time


    Candidates attempting to cheat often rely on secondary devices such as a computer, tablet, notebook or a mobile phone hidden from the line of sight of their webcam.

    By using multiple devices, candidates can look up information, search for solutions or simply augment their answers.

    Ways to prevent it
    • Track mouse exit count to detect irregularities
    • Detect when a new device or peripheral is connected
    • Use network monitoring and scanning to detect any smart devices in proximity
    • Conduct a virtual whiteboard interview to monitor movements and gestures
  4. Using remote desktop software and virtual machines


    Tech-savvy candidates go to great lengths to cheat. Using virtual machines, candidates can search for answers using a secondary OS while their primary OS is being monitored.

    Remote desktop software is another cheating technique which lets candidates give access to a third-person, allowing them to control their device.

    With remote desktops, candidates can screen share the test window and use external help.

    Ways to prevent it
    • Restrict access to virtual machines
    • AI-based proctoring for identifying malicious keystrokes
    • Use smart browsers to block candidates from using VMs

Future-proof Your Online Assessments With HackerEarth

HackerEarth's AI-powered online proctoring solution is a tested and proven way to outsmart cheating and take preventive measures at the right stage. With HackerEarth's Smart Browser, recruiters can mitigate the threat of cheating and ensure their online assessments are accurate and trustworthy.
  • Secure, sealed-off testing environment
  • AI-enabled live test monitoring
  • Enterprise-grade, industry leading compliance
  • Built-in features to track, detect and flag cheating attempts
Boost your hiring efficiency and conduct reliable online assessments confidently with HackerEarth's revolutionary Smart Browser.
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