100 done 🥹✨ #dsa #programming #cpp

3 Oct Leetcode potd ✅ Project work..(not so productive day) #dsa #cpp #LeetCode

2 oct : Leetcode potd ✅ 2 Q : balanced binary tree ✅ Maximum depth of tree ✅ Collage project work report+research paper #DSA #cpp #LeetCode

1 october Nothing much today ...revised tree and Leetcode potd 20 valid parenthesis #dsa #cpp

Winter Arc : day 29!! today's timelapse(ft. kanye) -learning GO from first principals continued! -Started building my 4th GO project - Kairo : a key-value storage - read system design article - touched grass + 5k steps - chess :3 time to do better tomorrow!

Stanford's all FREE Courses on AI & ML: ❯ CS221 - Artificial Intelligence ❯ CS229 - Machine Learning ❯ CS230 - Deep Learning ❯ CS234 - Reinforcement Learning ❯ CS236 - Deep Generative Models ❯ CS336 - LLM from Scratch Course links inside:

DAY 77/100 #DSA #100Days

If You're a Backend Engineer Please Learn: - SOLID design principles - Multithreading - Immutability - Streaming, messaging - Caching - Idempotency - Security - SSL, JWT, OAuth - Factory, Decorator, Singleton, Observer design patterns - TDD

Full-Stack + AI Engineer Roadmap 2026 1. 🌐 HTML + CSS + JavaScript 2. ⚛️ React + Next.js 3. 🟢 Node.js + APIs 4. 🗄️ PostgreSQL + Databases 5. 🔐 Authentication + Security 6. 🤖 LLM APIs + AI SDKs 7. 📚 RAG + Embeddings 8. 🧠 AI Agents + MCP 9. 🐳 Docker + Cloud 10. 🚀 Build + Deploy AI SaaS Learn → Build → Integrate AI → Deploy → Repeat Save this roadmap. Build along the way.

You've 3 Months to become employable before 2027. Pick one out of them and Grid like hell: A. Backend Engineering B. Learn Cloud + DevOps C. Grind DSA D. Vibe Code and Build Something Crazyy !! Choice is All yours.

Winter Arc : day 25 today's timelapse(ft. Kanye) - learning GO from first principals continued! -Done with v1 of URLshortener in go + v2: replacing map with db -SIH ppt done -started working on a new side project :) -touched grass+ 5k steps time to do better tomorrow!!

4AM and Sunday morning. 😭🔥 Learning, debugging, breaking, fixing, and pushing forward for the Amazon ML Challenge. 🚀 #AmazonMLChallenge #MachineLearning #AI

DAY 12 another day of juggling college + ML :) > studied Data Mining > learnt about Concept Learning in ML > revised TOC > solved a few things I had been putting off midsems are getting closer, so college studies are slowly taking more space now 😭🥹

Day 5/100 of #WinterArc challenge -> Started learning docker (for setting any open source project easily & locally in my device) -> Operating system (learnt types of OS, program, process, context switching, PCB , threads) -> Made a 2hr timelapse -> Did painting (new hobby)

Day 4/100 of #WinterArc challenge❄️🧿 -> 4hrs DSA, solved 12 basic math questions -> Started studying operating system -> Completed learning Git & GitHub -> Started learning how to make first open source contribution -> Recorded timelapses -> Made 2 paintings (New hobby)

🤖 AI Roadmap for Beginners 1. Programming Basics → 🐍 Python → 🔀 Git & GitHub → 🔌 APIs & JSON 2. Math Foundations → 📊 Linear Algebra → 🎲 Probability → 📈 Statistics 3. Machine Learning → 🔢 NumPy & Pandas → 🛠️ Scikit-learn → 📉 Regression & Classification 4. Deep Learning → 🧬 Neural Networks → 🔥 PyTorch → 👁️ CNNs & Transformers 5. Generative AI → 🧠 LLMs → 💬 Prompt Engineering → 🔎 RAG → 🗄️ Vector Databases → 🤖 AI Agents 6. Build Projects → 💬 Chatbot → 🔎 RAG App → 🤖 AI Agent → ☁️ Deploy your own AI app Learn → Build → Share → Repeat.

Winter Arc : day 16 today's timelapse!(with kanye) -learning Go from first principles continued :) -Second Go project almost done :) just gotta polish it a bit + write readme -Touched grass + 5k steps done -now gonna study for midsem :( -DSA who?🤬 time to do better tomorrow!!!

giving it my all these days.... 5–6 hours of sleep, 10–5 cllg, 6pm–3am grind Repeat.

Day 28 of Learning AI/ML Total Study Time: 8 Hours Python — 1 hr C++ — 1.5 hrs ML + NumPy Concepts — 3 hrs Probability & Statistics — 2 hrs Other Learning — 0.5 hr

Day 27 - Learning Al/ML I feel like I haven't studied Python and (C++) well enough, so I'm focusing on building a strong foundation in Python and C++.

happy day engineer sorry, wo todhi placement ki dikkat hai.