Topic hub
Job interviews, recruiter strategy, layoff recovery, networking that actually leads to offers, and career pivots from people who made them. Guests include former hiring leaders and operators from places like Microsoft, Amazon, and TikTok, plus engineers and product people who broke in from non-traditional backgrounds. There are 32 episodes here already.
Shriya left India for Germany to do a master's in Human-Computer Interaction. Zero — not "discounted," actually free.) If you've been stress-googling "masters abroad" at 2am, stuck in the loop most Indian students hit after a , this is the conversation you needed.
Two years ago, Anas lost his full-time UK job. He went back to Upwork — the platform he'd already used to make over $80K while studying — and within months landed an 18-month Swedish contract that generated over $5M in client revenue.
Here's the uncomfortable thing nobody at career services will tell you: "I use Claude every day" stopped being a resume line about six months ago. The people hiring at Amazon, Google, and the frontier AI labs already assume you do.
Two weeks into my first semester in the U.S., I remember sitting at my desk refreshing LinkedIn like it was a slot machine. At some point you start asking yourself the obvious question: is this just how it works here… or am I doing it wrong?
Most people grinding through a tough job market send 300 applications and wait. Deep Suchak bought a one-way ticket to San Francisco.
How He Stopped the Clock & Got Hired in 40 Days (The Blueprint) Description: Getting laid off is a punch to the gut. Getting laid off on an F1 Visa with the 90-day unemployment clock ticking?
In this episode of Ready Set Do , my guest is Umang Chaudhary , a Machine Learning Engineer at TikTok and former Applied Scientist at Amazon . Umang’s story is one of momentum — a reminder that you don’t need decades of experience to reach the top tiers of tech.
In this episode I talk with Hrohaan Malhotra, a Data Scientist at Wells Fargo who actually landed his role through a career fair. Hrohaan rewired the usual career-fair playbook: he didn’t show up to collect business cards — he showed up to build one great, memorable interaction.
Moving abroad for studies often gets reduced to a checklist: applications, visas, internships, and landing that first good job. In this episode of Ready Set Do I sit down with Bhushan Chougule, a graduate student at Purdue University studying Engineering Management, to talk about what most study-abroad advice misses — the small, human things that actually make your time overseas feel like living instead of surviving.
If you want a ruthless, recruiter-grade breakdown of how to actually get hired in 2025, press play. This episode features Shreya Mehta — professional growth coach and former recruiter at Microsoft, Amazon, and TikTok — and she does something rare: she publicly evaluates (nay, lovingly roasts) my podcast producer Deep’s LinkedIn profile and uses that teardown to teach every listener the exact moves that win interviews and offers.
Amazon interviews have a way of making smart people overthink the obvious and underprepare the parts that actually matter. This one gets into the loop, the hiring bar, and the kind of interview prep that is useful when the room is moving fast and nobody is handing out extra credit.
How does studying in Europe prepare you for launching one of the most innovative companies in a country as complex as India? In this dynamic episode, we sit down with Supra , a global strategy professional who helped expand Tesla into new markets , including India.
In this insightful episode, we dive deep into the world of Mechatronics Engineering with Shivam, a passionate engineer who stumbled into this interdisciplinary field by accident—but never looked back. Whether you're a student exploring engineering specializations or a tech enthusiast curious about how mechanical systems, electronics, and software come together, this conversation is a must-watch.
Machine learning interviews have become a strange mix of theory, product sense, and please-do-not-waste-my-time energy. Nirmal and Karun pull the curtain back on what candidates keep getting wrong, what hiring teams actually notice, and how to stop rehearsing answers that sound smart but do not land.
In this episode featured not-Guru is Jackie Henning. Jackie is a Product Manager at Cylinder and thru her content, has helped hundreds of aspiring PMs break into Product Management.
Varun shares exclusive interview-coaching insights from his 21-Day Interview Mastery cohorts. We cover practical frameworks for every interview-question type and the psychology of endearing yourself to any interviewer, no matter the industry, role, or career stage.
Shifra is a Developer Relations Advocate at and this is part 1 of my 2-part conversation with her. the topic of our discussion is how to switch to a career in tech - esp if you come from a non technical background - like Shifra, who had a background in music before becoming a data scientist and finally pivoting to the DevRel role.
Data engineering is the role people find after they get tired of vague 'learn data' advice. Sam makes the path concrete: what the job really asks for, which tools matter, and how to get hired without pretending you woke up fluent in all of it.
AI product management sounds clean from far away. Up close, it is a mess of shifting expectations, vague job titles, and people pretending the role is already settled.
Data science interviews have become their own weird theater: LeetCode, dashboards, vague case studies, and a whole lot of pretending. Karun keeps it grounded here and walks through what actually matters if you want the job, not just the buzzwords.
Aashka is the founder of various initiatives all focused on AI regulation, including her podcast @onairwithaashka , while also being a freelance bug bounty hunter for topic for today’s discussion is AI Safety and Regulation - what exactly it means, why its important and what the average person of the world can do to play their part. We also go over some of the most critical risks that are already becoming prevalent, including the tragic incident of a florida teenager who tragically ended his life in connection with a bot and steps that can be taken to prevent such instances to the degree possible.
Most AI conversations skip the part where someone has to build the thing inside an actual product with real users and real constraints. Nikhil talks through what it looks like to design generative AI features for Adobe Acrobat and how that kind of work maps to machine learning engineering roles.
Some career stories sound made up until you realize they were built one unglamorous step at a time. This episode follows a mechanical engineer from Indian Railways to SpaceX without pretending the path was neat, linear, or somehow inevitable.
Advitya works on Responsible AI at Microsoft as a Machine Learning Engineer 2. I am extremely stoked to present this incredibly nuanced discussion on the ethics and responsibilities that come with building mass-market generative AI tools.
Sai is the Lead Data Analyst at Blue Cross Blue Shield of South Carolina. Coming from an electrical engineering background, Sai managed to not only get into a top Data Analytics program at University of Connecticut, but also break into his current position without having any prior work experience whatsoever.I believe anybody who is currently in the job market can immediately appreciate what a gargantuan task that is - and Sai breaks down for us his exact strategy using which he was able to succeed.
First internships are often less about being brilliant and more about not getting spooked by the process. This episode is for the person who keeps thinking the US product manager path is only for some polished, obvious candidate from the start.
Construction is full of people who act like there is only one way to get in. Farheen did not follow that script; she moved from architecture into construction management and talks honestly about what changed, what stayed hard, and how she kept the move from turning into a performance.
A resume usually does not get rejected because you are terrible. It gets rejected because it is speaking the wrong language, and nobody bothered to tell you that until after the damage was done.
A master's in the US can be useful, expensive, confusing, and wildly overrated all at once. This episode is about getting more out of the move than a degree and a few blurry orientation photos, especially if you are trying to make the whole thing pay off in the real world.
In this episode, my guests are Ritwik and Kartik Khator. The twin brothers Ritwik and Kartik are the founders of Startup Indian , which is a company that offers research, analysis, and financial expertise services to startups and founders.
In this episode, my guest is Aditya Kothari. Aditya is a Senior Business Analyst at Capital One.
Getting hired at Amazon is one thing. Getting hired into a role that actually fits you is the harder part.
