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How I Landed My First Software Engineering Internship at Google

5.7K views· 260 likes· 8:04· Aug 17, 2025

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#softwareengineer #softwareengineering #internlife Just a few years ago, I was 17 and I had no idea how to code or land connections, let alone interviews and jobs. Now at 23, I can say I'm confident of coding, DSA, web development, AI, ML and also how to network and land jobs. Landing the first internship is always very very tough and I've detailed everything I did to land my first software engineering internship at Google. In this video, I’m breaking down exactly how I got my first opportunity, how much I made, and the projects and resources that helped me stand out. If you’re trying to break into tech, I’m showing you the exact steps I took so you can do the same. 👨‍💻 Coding Courses That Will ACTUALLY Get You Hired - From Zero To Mastery: (71% off): Grab the offer right now!!! https://www.educative.io/explore?aff=BqRd 📚 AI tool that will create AMAZING presentations with just a click (10% off): https://notegpt.io?fpr=sreemanti13 Linkedin: https://www.linkedin.com/in/sreemanti-dey/ Collaborations: sreemantidey1234@gmail.com #softwareengineer #softwareengineering #internlife #techinternship #codingjourney #codingtips #learntocode2025 #internshiptips #programming #programmer #devlog #techvlog #cs #computerscience #careeradvice #techcareer #developer #dev #codingforbeginners #engineerlife #internshipsearch #techjourney #careergrowth #codinglife #faang #bigtech #techjobs

About This Video

It was a long and brutal struggle, and I still get shivers thinking about the rejections—but in this video I break down exactly how I landed my first software engineering internship at Google. I started college not knowing how to code while people around me were already grinding Codeforces. So I went all-in: 6–8 hours a day on C++, DSA, and competitive programming. It was compile errors and wrong answers at first (even on easy problems), but I stuck with it—GeeksforGeeks for DSA fundamentals, then consistent practice till I hit Specialist on Codeforces. Once I realized DSA alone wasn’t enough, I fixed my resume by building real projects (this was pre-GPT era, so I built everything from scratch): a Flappy Bird web app, a blockchain-style DScoin course project, and my personal website. Later I used Educative for web dev and system design, and built more structured apps like a PDF chat-style project. I also added ML basics by completing Andrew Ng’s ML course and implementing simple regression/classification projects. The biggest differentiator for me was mock interviews (TopMate helped a lot) and getting my work in front of humans—especially referrals. A kind senior referred me, and that’s what unlocked the Google opportunity. I also share salary context (₹1 lakh/month) and the exact system I followed so you can replicate it for your first internship.

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