- 🎓 B.Tech CS student from Gujarat 🇮🇳
- 🤖 Deep passion for NLP, LLMs, RAG pipelines & Chatbots
- 🏥 Exploring AI for Healthcare via my Medical_X project
- 🔥 Actively building with PyTorch — from scratch to fine-tuning
- 🌱 Building open-source projects to grow with the AI community
- 🎯 Goal: First AI/ML job + meaningful open-source contributions
- 💬 Ask me about:
Machine Learning·NLP·RAG·PyTorch
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🗣️ NLP----
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FOUNDATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Linear & Logistic Regression
✅ Classification Metrics (Precision, Recall, F1, ROC)
✅ Data Pipelines & Feature Engineering
✅ Recurrent Neural Networks (RNN)
✅ Reinforcement Learning Basics
DEEP LEARNING ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ PyTorch Fundamentals (Tensors, Autograd)
🔄 CNNs & Computer Vision
🔄 Transformers & Attention Mechanisms
⏳ Model Fine-Tuning & PEFT (LoRA)
NLP & LLMs ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Core NLP (Tokenization, NER, Sentiment)
✅ RAG Pipelines (Retrieval + Generation)
🔄 Vector Databases (FAISS, Chroma)
🔄 LangChain & Agent Frameworks
⏳ LLM Evaluation & Prompt Engineering
MLOps & DEPLOYMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⏳ FastAPI / Streamlit for ML apps
⏳ Docker & Model Serving
⏳ CI/CD for ML pipelines
✅ Done 🔄 In Progress ⏳ Coming Soon
"Learning ML is not about memorizing syntax — it's about understanding the math behind the magic. ✨"*
