5 episodes
Data Science + AI
For the person trying to sound hireable in data science, applied AI, analytics, ML, or agentic AI roles without turning into a tool-name vending machine.

Series
This is the cleaner shelf for the Big Tech episodes: data science, AI, software engineering, product, TPM, and the career switches that do not fit neatly on a resume until someone explains them well.
Episodes where the guest gets into the actual path, not just the polished ending.
Crawlable conversations for Google, ChatGPT, Perplexity, and the humans who read before they listen.
Cleaner answer pages built from the raw episode language.
Role paths
The job search gets less cursed when the lane is named clearly. A data scientist, software engineer, PM, and career switcher do not need the same proof.
5 episodes
For the person trying to sound hireable in data science, applied AI, analytics, ML, or agentic AI roles without turning into a tool-name vending machine.
4 episodes
For the person trying to turn engineering proof into interviews, screens, and a story a recruiter can actually route.
4 episodes
For the person trying to break into product or program roles where the hardest part is proving the way you think, not just the title you want.
4 episodes
For the person whose path does not fit neatly on one line, which is usually where the most useful story starts.
Transcript-backed
This is the part search engines and answer engines need too: real language from the source, then cleaner paths around it.
If you think using Claude everyday is the same as having AI skills, you are not getting hired in 2026. My guest today, Surya Kari, is a Senior Genitive AI Data Scientist at Amazon.
Ep 106: How To Get Hired For Agentic AI Big Tech Roles in 2026 (Amazon Sr Data Scientist POV) - w/ Suryathere are six basic algorithms that you really need to know regression L regression km gaming support Vector machines and Tre somebody that is trying to break into data science how should
Ep 45: How to Break Into Data Science (Interview Prep Masterclass from ex-Amazon and Walmart Data Scientist) - w/ KarunMy first interview with Amazon, the first question was what are the assumptions of linear regression? And I fumbled bad. What are some ways ML role aspirants can leverage AI to turbocharge their chances
Ep 69: How To Crack Machine Learning Interviews (Microsoft & Walmart Sr Data Scientists POV) - w/ Nirmal & KarunWhat exactly does a masters in econometrics entail? When we actually do econometrics, we combine real world data with a theory. Seen with econometrics many times we are trying to estimate
Ep 53: How To Transition From Economics Academia To A Career In Data Science - w/ BhoomikaFor somebody trying to make the jump into data engineering, what are some of the important skills? Any resources that you found that really helped you or maybe any tools that are often needed? I
Ep 57: How To Get Hired As A Data Engineer - w/ Samso I joined Tesla and then after four or 5 months they announced layoffs in which I was impacted you'll want to do everything by yourself you want to create the Maximum Impact but you later
Ep 28: How To Be An Ace Big-Tech Software Developer - w/ HemantGuides
Episodes are the source. These pages are the shortcuts.
Guide
A transcript-backed guide to getting unstuck in Big Tech hiring, built from Ready Set Do episodes with engineers, data scientists, PMs, TPMs, recruiters, and AI builders.
Read guideGuide
A transcript-backed guide to Big Tech data scientist hiring, with episodes on Amazon AI, data science interviews, ML interviews, data engineering, and career switches into data.
Read guideGuide
A transcript-backed guide to Big Tech software engineering jobs, recruiter screens, interview prep, portfolios, and the tiny signals that make a candidate easier to trust.
Read guideGuide
A transcript-backed guide to machine learning engineer interviews, applied AI roles, project proof, and how Big Tech teams actually talk about model work.
Read guideGuide
A transcript-backed guide to data science, data engineering, analytics, dashboards, interviews, and the practical path from raw curiosity to hireable proof.
Read guideSource episodes
Every source page has the video, audio, transcript context, and internal links back into the rest of the site.
Ep 106
Agentic AI hiring is already past the point where saying 'I use Claude' sounds impressive. Surya Kari works on Amazon's generative AI team, so this conversation gets into what actually matters now: customer judgment, data science fundamentals, model evaluation, and the proof that tells a hiring team you can ship inside a real business.
Surya · May 9, 2026
Open episodeEp 45
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.
Karun · Jan 29, 2025
Open episodeEp 69
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.
Nirmal · Jul 9, 2025
Open episodeEp 53
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.
Bhoomika · Mar 19, 2025
Open episodeEp 57
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.
Sam · Apr 17, 2025
Open episodeEp 28
Everyone wants the clean answer for how to get into Meta, but the real path is usually a lot less tidy than the LinkedIn version. This one gets into the stuff that actually moves the needle: the technical bar, the moves that help you switch to better opportunities, and the kind of prep that does not collapse the second an interviewer asks a real question.
Hemant · Oct 9, 2024
Open episodeEp 21
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.
Maya · Aug 22, 2024
Open episodeEp 75
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.
Madhur · Aug 20, 2025
Open episodeEp 18
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.
Tushar · Jul 31, 2024
Open episodeEp 2
Getting hired at Amazon is one thing. Getting hired into a role that actually fits you is the harder part.
Pragya · Apr 10, 2024
Open episodeEp 49
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.
Aman · Feb 19, 2025
Open episodeEp 11
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.
Farheen · Jun 13, 2024
Open episodeEp 35
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.
Nikhil · Nov 28, 2024
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