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Learned OOPS concepts took me 3 days to wrap it up! Next up: diving into NumPy. Step by step, building a strong foundation for my AIML journey. Anyone else on the same path or wanna join in? Let’s learn and grow together! 🚀 #Python #OOPS #NumPy #AIM

2025 has been a wild ride so far! Had in-depth discussions with my company's founder and a bunch of other founders, gaining insights into scaling and business strategy. Scaled software to over 500k+ users, diving deep into high-scalability architect

Getting a off campus job as a fresher is tough as hell. That too if you are looking for some roles which needs lots of expertise inplace. I faced lots of challenges. Mentioning some of them that HRs can improve and job seekers could take care off. 1

Sam Altman on why you should work hard at the beginning of your career: Hard work pays off over time, just like compounded interest. Starting early in your career gives you more time to see the benefits of your efforts. When you’re young, you of

AI isn’t magic. It’s a language. And knowing its terms is the first step to mastering it. Here’s a quick guide to what every professional should understand: Machine Learning - algorithms predicting outcomes from patterns in data. Neural Networks -

🧠 From Linear Thinking to Non-Linear Solutions: My ML Journey Just wrapped up a major milestone in my data science learning - transitioning from Logistic Regression to Support Vector Machines through Krish Naik's bootcamp. 🔍 The Learning Curve: Log

May be controversial: The most important goal for a founder in the early days should not be 'building a great company' As founders with limited resources (capital, technology, and employees), our primary focus should be on laying a strong foundation

Hey everyone, Today, I want to take a break from business talk and share something fascinating that caught my attention recently. I was watching a documentary about NASA, and it blew my mind!We all know NASA as the organization leading space explorat

India’s EV market is booming, but it’s still a long road ahead: 📌 1.5M+ EVs sold in 2023, but only ~6% of them were passenger cars. 📌 Tata Motors dominates with 80%+ market share, while MG, Mahindra & BYD are scaling fast. 📌 Charging infra? Still

Everyone wants AI agents. Very few understand the fundamentals behind them. Many teams imagine digital workers completing entire workflows automatically with almost zero oversight. Sounds powerful. Sometimes unrealistic. Remove the hype for a mome