💡 I am Tanish Jagtap, a passionate AI & ML enthusiast 🚀
I specialize in the end-to-end Machine Learning lifecycle — from data preprocessing, feature engineering, and model training to evaluation, optimization, deployment, and scaling.
🔹 Focus Areas
- Machine Learning & Deep Learning (Supervised, Unsupervised, Reinforcement Learning)
- Large Language Models (LLMs): fine-tuning, RAGs, prompt engineering, domain adaptation
- Generative AI: text generation, synthetic data, and multimodal systems
- LangChain & Graph-based ML for structured reasoning and knowledge integration
- GPU Computing & Parallelization for accelerating ML models
- Compiler Design concepts applied to AI system optimization
- MLOps & Deployment: CI/CD, containerization, cloud scaling, and monitoring
🌱 Always combining theory, engineering, and research to build intelligent, scalable AI systems.
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