sharath odepalli

Job searching can feel overwhelming. Some days you apply everywhere, other days you don’t even know where to start. What I’ve learned is simple: a structured day creates consistent progress. Here’s a step-by-step plan that any student can follow 👇 🌅 Morning (7:00 AM – 10:00 AM) → Build Your Base ✔️ Start fresh → Light exercise, meditation, or journaling (10–15 mins) ✔️ Stay updated → Read industry news or LinkedIn posts (30 mins) ✔️ Skill practice (1.5 hrs) → Coding challenges, case studies, or tools for your role (DSA for tech, case prep for consulting, etc.) 👉 Why this matters: Your morning sets the tone. Sharpening your skills daily keeps you interview-ready. ⏰ Midday (10:00 AM – 2:00 PM) → Take Action ✔️ Job Applications (2.5–3 hrs): Apply to 10–12 targeted jobs. Tailor your resume slightly for each role (keywords + responsibilities). Write a short, specific cover letter (not copy-paste). Track applications in a Notion/E...

  One thing I realized in the past few days: writing publicly isn’t about showing expertise, it’s about showing  progress . When I build with technology whether it’s experimenting with AI tools or fixing a bug in code. I often think,  “This isn’t worth sharing yet.”  But the truth is, even small lessons can be valuable to someone else. For example, I recently learned that most AI models don’t “think” the way we assume. They’re just predicting the next most likely word, based on patterns in huge amounts of text. Simple idea, but it explains why AI sometimes sounds smart and sometimes completely off. Sharing things like this, even if they feel basic, creates a record of growth. It also makes the journey more authentic because nobody starts as an expert. So here’s my reminder for myself (and maybe for you too):  don’t wait until you’re perfect to share - share while you’re learning. See you all...

AI is Getting Smarter… and More Human Than I Expected Over the last few months, I’ve been diving deep into AI, not just how it works, but how it’s starting to shape the way we work, think, and connect. The Economic Impact of AI The economic impact alone is hard to ignore. According to a  PwC report , AI could add  $15.7 trillion  to the global economy by 2030. IDC data  puts the estimate even higher --> around  $19.9 trillion . That’s more than the GDP of China and India combined. AI and Emotional Intelligence But here’s the part that really surprised me: A recent  study from the Universities of Geneva and Bern  found that AI models like ChatGPT-4 scored  82%  on emotional intelligence tests. Humans averaged  56% . I honestly had to read that twice. Emotional intelligence has always been one of those  “uniquely human”  traits. Yet here we are with AI reading tone, spotting emotion, and sometimes even offering more empathetic...