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Career-switching episodes for breaking into product, AI, data, TPM, design, public health, construction, and other rooms where the first proof is the hardest part. 22 episodes live in this lane.
How do you go from running tuberculosis programs in rural Bihar to studying at Oxford and eventually working with WHO Africa? There is no clean answer — and that is sort of the point.
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?
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.
"You need experience to get the job, but you need the job to get experience." It is the classic Product Management "Death Loop." If you are a doctor, a teacher, a marketer, or a salesperson, you are constantly told that you don't have the "technical DNA" to be a Product Manager. You are told to go get an MBA, learn to code, or start at the bottom of a support desk.
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.
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.
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.
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.
Sara is a forensic science graduate from University College London with experience as a Forensic Biology Research Intern at the NYC Office of Chief Medical Examiner. my social links!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
A clean career pivot sounds nice until you are the one in the middle of it. Bhoomika walks through moving from economics academia into data science, what her background gave her, and how to make a non-linear path feel honest instead of apologetic.
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.
Product, project, and program manager roles get mashed together until the whole thing starts sounding like one vague career blob. This episode breaks that apart in plain English and gets into what matters if you want to get hired without pretending the title alone is the answer.
Vishwas is the head of Revenue Strategy at subject of today’s discussion is AdTech. Vishwas takes us thru the fascinating and cash-strapped world of ad tech and the engineering marvels it takes to serve personalized ads to users within 200 ms.
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.
Applying online feels like throwing your resume into a black hole. But what if you knew exactly what the person on the other side of the screen was looking for?
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.
UI and UX advice gets mushy fast because people love talking about taste more than work. Tushar gets specific about the HCI route, what product design at Microsoft actually asks of you, and why good interface work is usually less about pretty screens and more about thinking clearly when the constraints get annoying.
Sohan is a data visualization aficionado and loves effective story-telling using data. He’s also been Top Data Visualization Voice on LinkedIn on numerous occasions, spreading the knowledge and empowering others to excel at business analytics and data visualization.
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.
Getting hired at Amazon is one thing. Getting hired into a role that actually fits you is the harder part.
