How To Break Into Site Reliability Engineering on A F-1 Visa - w/ Sai Joshitha
and a Kubernetes pod just quietly died. A guy in a different time zone taps his card for coffee and it works.

Life is lived in the arena.Topic hub
Interviews, recruiters, layoffs, internships, AI roles, career fairs, and the practical moves that turn applications into offers. 21 episodes are tagged here.
and a Kubernetes pod just quietly died. A guy in a different time zone taps his card for coffee and it works.

π― That bet ran through a master's in the USA at Northeastern University and dropped him into the 2024 job market with no return offer and no sponsorship. Harder for an international student.

I still have the exact one-page PDF that got me shortlisted for a Program Manager role at Apple. No skill bars pretending "80% Excel" means anything.

I walked in ready for the usual "AI is coming for your job" sermon. Then a PayPal AI engineer β a guy who's also logged time at TikTok and JPMorgan β looked at me and said he's never once watched good code make anyone a dollar.

Saurav is twenty-six and lives in Delhi. For five years he's worked fully remote for companies in Israel and the Czech Republic, and he gets flown out to developer conferences across three continents.

Picking between Duke MEM and Purdue MEM is the kind of decision where Reddit threads contradict themselves. And the people who actually survived it have already moved on with their lives.

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.

Picture this: it's 2023, ChatGPT just dropped, every Fortune 500 suddenly needs an "AI strategy," and the job postings want 5 years of experience in a technology that's barely 18 months old. How does anyone actually get hired in that mess?

Everyone's hyping autonomous AI agents. Your corporate IT department is quietly building a blacklist.

Most people grinding through a tough job market send 300 applications and wait. Deep Suchak bought a one-way ticket to San Francisco.

A lot of people frame success as leaving, which is convenient because it keeps the story simple. This episode is more interesting because he chose IIT Kharagpur instead, and the whole thing becomes a very different kind of bet on AI, ambition, and where the best launchpad actually is.

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 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 didnβt show up to collect business cards β he showed up to build one great, memorable interaction.

If you want a ruthless, recruiter-grade breakdown of how to actually get hired in 2025, press play. This episode features Shreya Mehta β professional growth coach and former recruiter at Microsoft, Amazon, and TikTok β and she does something rare: she publicly evaluates (nay, lovingly roasts) my podcast producer Deepβs LinkedIn profile and uses that teardown to teach every listener the exact moves that win interviews and offers.

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.

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.

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.

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.

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.

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.

In this episode, my guest is Aditya Kothari. Aditya is a Senior Business Analyst at Capital One.
