Ready Set Do

Naman Pandey
  • 4.7(3개의 평가)
  • 가이드
  • 매주 업데이트

Learn relatably from high-agency individuals, from all walks of life — currently just a few steps ahead in your journey of choice. The only podcast where you learn from artists, sages, techies and children - and everyone in between. What makes the stories on Ready Set Do podcast real, relatable, and actually useful is that they aren't selling you lottery tickets they already won with. Instead, we show you the first few steps they took- so you can find your own way forward. No spoon-feeding, ever. New episodes every Wednesday.

  1. 1일 전

    How To Get Hired For AI Agent Roles In Big Tech (2026) - w/ Sohil

    I walked in ready for the usual "AI is coming for your job" sermon. Then a PayPal AI engineer — a guy who's also logged time at TikTok and JPMorgan — looked at me and said he's never once watched good code make anyone a dollar. One sentence, and the whole hour reset. Sohil is early enough in his own story to remember the scramble, and senior enough now to see what big tech actually rewards. So we skipped the platitudes. We open with what companies really screen for in AI agent jobs in 2026, and why leetcode refuses to die even though an LLM can solve most of it in seconds. (Yes, I asked him why. His answer beats the LinkedIn takes.) He walks through why take-home tests are basically dead for senior engineers, how AI reshaped his actual day at PayPal, and the edge-case trap that quietly wrecks AI-written code before you spot it. If you're prepping for a senior software engineer interview, that part alone earns the listen. Then came the takes that rewired my brain. The "10x productivity" thing? He calls it a myth. His number is 2x, maybe 3x on a great day, and he shows exactly where the ceiling sits. Anyone chasing AI coding productivity headlines should hear this before they overpromise to a manager. Here's the one that stuck with me: higher code quality almost never moves revenue. Sit with that. It changes how you think about getting promoted in tech, because the thing you're proud of might be the thing nobody upstairs can see. We also go inside ByteDance during Project Texas and the TikTok ban — what it felt like from a desk, not a headline. And how he pivoted from finance into big tech without a resume that matched the job on paper. (If you're plotting a career pivot into tech and your background looks "wrong," this is your permission slip.) This is the honest version of software engineer career advice nobody bothers to post. No hype about whether AI will replace software engineers. Just a working ai engineer telling you what the tech job market in 2026 looks like from the inside. If you're early-career and stuck on your next move, press play. 🎧 Connect with SohilLinkedIn — https://www.linkedin.com/in/sohil-vinod-shah/ Ready Set Do covers AI careers, tech hiring, and your next move. New episodes weekly — subscribe on YouTube and Spotify. Timestamps: 00:00 — Navigating the Hiring Landscape in Big Tech 07:40 — A Day in the Life at PayPal 12:26 — Leveraging AI in Code Development 18:11 — Contrasting Experiences: TikTok vs. PayPal 22:21 — Productivity Gains and Challenges with AI 23:51 — Quality Output vs. Business Value 27:40 — Navigating Challenges at ByteDance 30:10 — Transitioning from Finance to Tech 34:13 — Strategies for Career Advancement 38:09 — The Future of AI in the Workplace

    46분

  2. 4일 전

    How To Get Real Press in 2026 (Without Paying For Forbes.. Ex-CBS Journalist POV) - w/ Vaishali

    Someone slid into your inbox last week offering Forbes for a thousand bucks. Maybe you almost said yes. 😅 Vaishali Gauba spent years inside CNBC, NBC and CBS newsrooms before starting her own PR agency, and she'll tell you flat out: that yes quietly costs you the exact people you were trying to reach. Here's the uncomfortable part about how to get into Forbes with a credit card. The crowd doesn't care where you got featured. But the client you actually want? They can smell paid coverage from a mile off (and once they do, your credibility is done). So we spent an hour on what earned media vs paid media really means when you're a founder with no PR budget and a business to build. Vaishali breaks down how to spot a real article versus a press release in about five seconds. Hint: the "we're thrilled to announce" opener gives it away every time. We get into why a journalist writing about you beats you writing about yourself, and why that gap is the whole game. Why Forbes might do nothing for your sales while a local paper your actual buyers read does everything. And how to find the story hiding inside your own company (the one you're too close to see because you live it every day). If you're a founder trying to figure out how to pitch journalists, whether paying for Forbes is worth it, or how to get press without buying it, this is the honest version nobody sells you. Vaishali also explains why any agency promising guaranteed coverage is quietly telling you to run. Her own path is a story too. She went from the Rutgers student newsroom to CBS, lost her US visa, rebuilt in India and Canada, and now runs earned media for founders who want the real thing. If you're building anything and you need people to trust it, start here. This one is for anyone thinking about startup PR, personal branding, and how to build credibility as a founder that actually holds up. Connect with Vaishali:Website: vaishalimedia.comEmail: vaishali@vaishalimedia.com New episodes weekly. Subscribe on YouTube and Spotify so the next one finds you. Timestamps:00:00 - Vaishali Gauba08:50 - Building Trust Through Earned Media13:30 - Paid Coverage vs. Real Credibility15:15 - Vaishali's Journalism Roots at Rutgers21:30 - Inside CBS and the Reality of Newsroom Work27:30 - Journalism Degrees, Visas, and Career Pivots32:03 - The Evolution of Journalism and PR33:19 - Understanding PR: The Misconceptions38:40 - Why Local Press Can Matter More Than Forbes40:10 - Crafting Compelling Stories: The Art of PR45:13 - The Role of Relationships in PR52:50 - Why Journalists Remember Great Stories56:00 - Relationships Help, But the Story Still Matters

    1시간 4분

  3. 6월 24일

    How To Get a Remote DevRel Job From India in 2026 (Step By Step) - w/ Saurav

    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. The part that stopped me cold: he's never once clicked "apply" on a job portal. Not once. So how does a kid from a government school in Delhi end up speaking on stages in Nigeria, Prague, and San Francisco? That's the whole episode. The job is DevRel — developer relations, or developer advocate if you want the fancier title. Most Indian devs have never heard of it. Meanwhile companies across Europe and the US are scrambling to fill these roles, and plenty of them pay in USD. (Yes, from India. Yes, fully remote.) Saurav walked me through his actual playbook. How he built public proof through his content and community work until hiring managers came chasing him instead of the other way around. How he got companies to invent a role for him when they weren't even hiring. We also got into the stuff nobody warns you about. The DevRel interview has a coding round most people don't see coming, and Saurav explains how to walk in ready. He breaks down what this remote tech job looks like on a normal Tuesday, not the conference-stage highlight reel. Then there's the AI question. Everyone assumes AI is coming for these jobs. Saurav makes the opposite case — demand for good developer advocates is climbing, and he explains why. If you're an Indian developer staring at LeetCode and wondering whether there's another door in, this one's for you. Saurav started exactly where you are. He learned Python, did the work in public, and built a remote career that pays globally without a single resume submission. Worth your forty minutes? I think so. 🎧 If real career paths with no fluff are your thing, subscribe and stick around. New episodes every week. Saurav's links:LinkedIn: https://www.linkedin.com/in/sauain/Apify: https://apify.com Podcast Website: readysetdopodcast.com Timestamps:00:00 The Rise of Remote Work and Developer Advocacy03:09 Building Developer Content at Apify06:09 Saurav's Path From Software Developer to DevRel09:39 Learning Python and Breaking Into Tech13:09 Landing Remote Roles Without Applying17:09 Getting Hired Through Public Work21:09 Making Companies Create Opportunities for You25:09 What DevRel Actually Involves Day to Day29:09 DevRel Interviews, Coding Rounds, and Community Proof33:09 Remote Work, Travel, and Getting Paid Globally37:09 How AI Is Changing DevRel41:09 Advice for Indian Developers Starting Out

    44분

  4. 6월 11일

    How To Get A Master's In Germany For $0 in 2026 & MUST-KNOW Hiring Rules - w/ Shriya

    Shriya left India for Germany to do a master's in Human-Computer Interaction. Her tuition bill came to zero. (Read that again. 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 B.Tech, this is the conversation you needed. US debt, Canada's wait times, or the rumor that Germany is some kind of cheat code — we sort out which parts hold up. She walks through why Germany won out over the US and Canada, and how the German public university system actually works. A free masters in Germany isn't a trick. Public universities charge no tuition to international students, full stop. The real masters in Germany cost is rent, a blocked account for your German student visa, and the slow work of building a life in a town where you might not know a soul. Shriya also explains what HCI even is. Most people file human computer interaction masters work under UX and move on, but the field is wider — AR, VR, data visualization, research roles that don't sit neatly on a job board. For one project she turned survey data into comics (yes, comics). Then there's the part nobody markets to you. The German language requirement quietly decides who gets hired after graduation, no matter how sharp your portfolio is. We get into that honestly, plus how she funded independent research as a student and what an HCI degree opens up beyond a standard UX role. And the human stuff: safety, the loneliness of a small German town, and learning to read a culture that says what it means and little more. So if you're weighing Germany vs USA masters, sizing up the best country for a master's as an Indian student, or just want a straight answer on a UX masters in Germany before you sign away two years — start here. Timestamps: 00:00 Shreya's Journey from CS to HCI 04:04 Understanding HCI and Its Curriculum 07:04 Why Germany Made Sense for Grad School 10:49 How HCI Programs Are Structured in Germany 12:57 AR, VR, and Visualization Projects in HCI 16:49 Comicification: Turning Surveys Into Comics 23:41 Career Opportunities After an HCI Degree 27:19 Grants, Research Funding, and Student Opportunities 31:49 German Language Requirements for Jobs 36:34 Navigating Safety, Loneliness, and Social Life in Germany 42:34 German Culture, Communication, and Stereotypes 50:49 Final Reflections and Advice for HCI Students Find ShriyaLinkedIn: https://www.linkedin.com/in/shriy-singh/ Ready Set Do podcast: www.readysetdopodcast.com

    55분

  5. 6월 2일

    How to Turn LinkedIn Posts Into Career Opportunities - w/ Daniel

    Most people treat LinkedIn like a résumé site. Daniel Greenberg thinks that is exactly why they stay invisible. Daniel has racked up 8 million impressions on LinkedIn and co-hosts Connection Accepted, a show about communication and online influence. So when he says the feed now behaves more like TikTok than a digital CV, I paid attention. Here is the part nobody wants to hear: posting on LinkedIn feels awkward at first, and that awkwardness is the price of entry. Daniel walks through how he actually started, what kept him going, and why the first few posts matter less than the hundredth. We get into AI writing tools too. They make you faster, sure. But faster at producing forgettable content? Daniel and I both agree most AI-generated posts read like they were written by a polite robot trying to win an award (we have all scrolled past that guy). The bigger idea is that communication beats algorithm hacks. You can chase reach all day, but if your one message does not stick, the impressions do not turn into anything. Daniel breaks down how to make a single point land and how to test new formats without abandoning what you actually care about. Then there is the podcasting problem. These episodes eat hours. So how do you know the time is worth it? Daniel uses real listener feedback as the scoreboard, not vanity metrics, and he showed me how he turns raw podcast transcripts into LinkedIn content and search-friendly material that gets discovered through ChatGPT. The last stretch might be my favorite. Daniel explains how consistent content quietly creates warm leads, so opportunities come to you instead of you cold-pitching strangers and hoping. (Imagine that.) If you want to grow on LinkedIn, build a personal brand, sharpen your communication, or create career and business opportunities without begging for them, this one will shift how you see the platform in 2026. 🎯 Listen to the full episode of Ready Set Do with Naman Pandey. Guest: Daniel Greenberg, LinkedIn creator and co-host of Ideas.Host: Naman Pandey Timestamps: 00:00 LinkedIn: The Next TikTok? 04:59 How to Start Posting on LinkedIn 10:37 AI Writing Tools: Productivity vs Quality 15:01 Why Major Creators Are Moving to LinkedIn 20:08 Making One Message Stick 25:10 Experimenting With Formats Without Losing the Mission 30:15 Podcasting's Time-Investment Problem 35:17 Using Real Feedback to Measure Content 40:21 Turning Podcast Episodes Into LinkedIn Content 45:19 How Content Creates Warm Leads

    49분

  6. 5월 25일

    How to Turn a Civic Frustration Into a Viral Product (NammaKasa Bangalore Founder POV) - w/ Jyothish

    Picture this. You spend a few weekends building a small web app to track garbage piles in your city. You post about it once on LinkedIn. You go to sleep. You wake up to 250,000 users and your local government quietly using your tool to clean the streets. That's Jyothish's actual 2025. The app is Namma Kasa. It does one thing — lets Bangalore residents drop a pin on a map when they spot uncollected trash, then routes it to the people who can actually pick it up. No login walls, no gamification, no pretending it's a "platform." Just a map and a civic problem. Jyothish is a solo developer and indian product designer who shipped at version 0.1 instead of polishing for six months. The polish came after the users did (and yes, that order matters more than the build-in-public crowd lets on). The Bangalore garbage app went viral on LinkedIn with a 5-word hook. BBMP marshals started using it without a single pitch meeting. Investors slid into his DMs. He turned them all down. In this Ready Set Do conversation, Naman pulls apart how it actually went down — the exact LinkedIn post that broke it open, the mindset behind shipping an MVP in india before it feels ready, how civic technology gets adopted when nobody is forcing a partnership deck, and why he's anti-VC on principle for this one. If you've got a half-built side project sitting on your laptop right now (yes, that one), and you've been told you need a FAANG resume before anyone takes your work seriously — this is the one to play. Civic tech india doesn't need permission. It needs people who ship. ⏱ Chapters:00:00 The Viral Journey Begins03:30 Designing a Map-First Civic Reporting Journey06:40 The Mechanics of Reporting Garbage09:45 Going Viral, Hitting Limits, and Coming Back Online12:30 Accountability, Visibility, and Reaching Authorities15:01 Scaling and Future Plans18:54 Product Design Lessons for Civic Tech23:45 Shipping Imperfectly and Learning from Feedback28:30 Keeping Nammakasa Citizen-Led32:52 Building Ideas Without Overthinking the Outcome34:52 Final Reflections: Keep Experimenting and Keep Going Connect with Jyothish:LinkedIn: https://www.linkedin.com/in/jyothish-vm/Namma Kasa (Bangalore): nammakasa.in Subscribe for weekly conversations with people figuring out what careers and building actually look like in the AI era — career advice india 2026, indie hacker india stories, bootstrapped app journeys, and indian developer side projects worth paying attention to.

    38분

  7. 5월 12일

    How to Make $80K on Upwork (From a Top 3% Freelancer) - w/ Anas

    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. His unfair advantage? A 60-second intro video that gets him hired in 24 hours. In this episode of Ready Set Do, I sit with Anas, a Top Rated Plus Upwork freelancer (roughly the top 3% on the platform), to walk through his exact playbook for freelancing on Upwork in 2026. We cover how to start freelancing on Upwork with zero reviews, how to write Upwork proposals that actually get opened, how to price freelance work across countries without underselling yourself, and how to escape the "Upwork is saturated" trap that keeps most beginners stuck. Anas is a Moroccan-born industrial engineer who pivoted into data science, freelanced his way through grad school in the UK, and rebuilt his income on Upwork after a layoff. So he's lived both sides — the broke student grinding for first reviews, and the senior freelancer competing against AI and offshore pricing. If you're trying to figure out how to get clients on Upwork, build a freelance data science career, or future-proof yourself against AI eating junior work — this is the full breakdown. A few things we get into: → The Upwork proposal mistake 90% of beginners make (and the niche-down fix)→ Why milestones beat hourly contracts on bigger projects→ How to filter bad clients before you ever get on a call→ The LinkedIn + YouTube combo that pre-sells you before the proposal lands→ Where Anas thinks "Chief AI Operator" roles are headed next Whether you're sending your first Upwork proposal this week or you've been freelancing for years and feel the AI pressure closing in, Anas gives you the tactical playbook and the bigger story behind it. (Quick heads-up: I learned more about freelance pricing in 25 minutes of this conversation than in any Upwork course I've seen.) Subscribe to Ready Set Do for more honest career conversations with people who've actually done it — international students, immigrant founders, freelancers, PMs, and engineers building unconventional paths into tech. 🔗 ABOUT ANASLinkedIn → https://www.linkedin.com/in/riadanas/YouTube → https://www.youtube.com/@UC2L6md1QyYAMRAoar_9ZFaw Ready Set Do podcast: readysetdopodcast.com Chapters: 00:00 The Biggest Misconception About Freelancing01:55 From Industrial Engineering to Data Science03:15 Saturation, AI Tools, and the Changing Job Market05:00 Starting on Upwork Before Feeling Fully Ready06:42 Niching Down and Writing Targeted Proposals09:47 Getting First Reviews and Building Social Proof11:01 Filtering Clients and Setting Clear Project Boundaries14:32 Milestones, Hourly Work, and Project Structure19:19 Pricing, Undercharging, and Negotiating Rates24:02 Re-Entering Upwork and Landing a Larger Client28:47 Building Trust with LinkedIn, YouTube, and Video Proof35:28 AI's Impact on Freelance Data Work and Future Roles38:13 AI Agents, Chief AI Operators, and Guardrails

    45분

  8. 5월 9일

    How To Get Hired For Agentic AI Big Tech Roles in 2026 (Amazon Sr Data Scientist POV) - w/ Surya

    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. So what actually gets you hired in 2026? I sat down with Surya Kari, a Senior Generative AI Data Scientist at Amazon, to find out. Surya works on Amazon's white-glove GenAI team. His days are spent shipping with Fortune 500 customers and the frontier model labs you read about on Twitter. He's in the room when hiring decisions get made. And his honest read on early-career AI hiring is way more specific than the LinkedIn-thinkpiece version. We start with the thing I keep seeing destroy promising careers: using Claude (or any AI tool) like glorified autocomplete. Surya calls this the fastest way to plateau in your twenties. The fix isn't more tools — it's depth. The kind of moat that doesn't melt the next time a frontier model ships. Then we get into agents. Surya doesn't think agentic AI is actually production-ready yet (and yes, he works at Amazon, so he's seen the receipts). We talk about what's still broken, what the hype is missing, and what "agents" will probably mean by the time you graduate. His own story is pretty wild too. He was running a Canadian startup competing against Amazon Go before he ended up running GenAI deals at Amazon itself. The arc from analyst to startup founder to senior AI scientist is full of stuff that won't show up on a tidy career-advice carousel. The conversation I'm proudest of comes near the end. Surya grew up in India, studied in Canada, works in the US — and he's watched how each region is building AI from the inside. The contrast between how the East and the West think about AI right now is sharper than I expected. His take on India treating AI as public infrastructure is the kind of thing you don't hear in the usual big tech hiring discourse. If you're a CS student or new grad trying to figure out where to bet your career in the generative AI era, this one's for you. Surya tells you exactly what he'd do today if he were starting over. Subscribe for weekly conversations with the people figuring out what work actually looks like in the AI era. Connect with Surya:LinkedIn: https://www.linkedin.com/in/suryakari/ ⏱ Chapters:00:00 A Day in the Life of a Generative AI Data Scientist01:17 Understanding Customer Personas in Generative AI04:17 Upskilling in a Rapidly Evolving Field06:09 The Contrast of Experience in AI Tools09:33 Navigating Production Code and Testing12:15 The Hype Around AI Agents16:28 The Future of AI Agents and Their Limitations20:56 Surya's Journey: From Analyst to AI Expert23:48 Innovations in Retail Technology24:09 Transitioning to Edge Computing and AI26:36 Upskilling in Data Science and AI31:39 Cultural Differences in AI Development36:10 AI as Public Infrastructure in India

    46분
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평가 및 리뷰

4.7
최고 5점
3개의 평가

소개

Learn relatably from high-agency individuals, from all walks of life — currently just a few steps ahead in your journey of choice. The only podcast where you learn from artists, sages, techies and children - and everyone in between. What makes the stories on Ready Set Do podcast real, relatable, and actually useful is that they aren't selling you lottery tickets they already won with. Instead, we show you the first few steps they took- so you can find your own way forward. No spoon-feeding, ever. New episodes every Wednesday.

정보

  • 제작진
    Naman Pandey
  • 방송 연도
    2024년 - 2026년
  • 에피소드
    114
  • 등급
    무삭제판
  • 저작권
    © Naman Pandey
  • 웹사이트 보기
    Ready Set Do

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