Coding maestro crafting lines of brilliance. JavaScript enthusiast 🚀 | Always chasing the next bug to squash. #CodeWizard #DeveloperLife

Joined November 2023
33 Photos and videos
Any part - time developers?
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What are the things that you will do to stay consistent in your work?
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Experience or skill ?
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what is this delulu solulu..?
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Which AI tools do you use for more productivity ?
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People be like:- Let's connect bro And they didn't even follow Bro what the meaning of let's connect then
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Google is on a downfall and might become a legacy company as compared to the new high tech cool company. •⁠Google cloud sucks as compared to Azure and AWS. •⁠Pixel phones have heating and network issues. •⁠Gemini s*cks, open source models will be way better.
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Deep Learning became popular because of huge data, powerful GPUs, and better algorithms. More data more compute = smarter models. That’s the real reason behind today’s AI boom. 🚀
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Average Word2Vec Instead of one-hot or TF-IDF, each word has a dense vector. Sentence representation = average of all word vectors. Simple ✔️ Keeps semantic meaning ✔️ But loses word order ❌ Good baseline, not the final answer. #Word2Vec #NLP #GenAIJourney #LearningInPublic
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Restday
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Anyone started to learn about AI at 2026? If yes, We can connect..
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Happy New Year, everyone!
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Wassup buds...!
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Day 10 | TF-IDF Learned how NLP measures word importance in text. TF → frequency in a document IDF → down-weights common words Pros: intuitive, captures importance Cons: sparse vectors, OOV issue Small concept, big impact. #Day10 #TFIDF #NLP #GenAIJourney #LearningInPublic
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Day 9 – Progress Check What changed in 9 days: Fear ↓ Clarity ↑ Curiosity ↑↑ Still a beginner. Still confused sometimes. But no longer stuck. Consistency > Motivation. Onwards 🚀 #Day9 #LearningInPublic #GenAIJourney
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Day 7 – OOP Concepts Refresh Revisited: Inheritance Polymorphism Code reusability AI code also needs: clean design > quick hacks Old concepts suddenly feel very relevant again. #Day7 #PythonOOP #GenAI
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Day 6 – Backend for AI Explored: Flask FastAPI How ML models get exposed as APIs AI is useless if you can’t serve it. Learning how “model → product” actually happens. #Day6 #FastAPI #MLDeployment
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Day 5 – Python Revisions (AI Prep) Revised: Files Datetime Multithreading APIs Realization: Strong GenAI needs strong Python fundamentals. Skipping basics is the biggest mistake. #Day5 #Python #GenAIJourney
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Day 4 – One Hot Encoding Learned: What is One Hot Encoding Advantages & limitations Simple but powerful idea: More features ≠ better always. Vocabulary size matters more than I thought. #Day4 #MachineLearning #NLP
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