GPU Computing Specialist | ML/AI Developer | Physics Researcher
A passionate developer and researcher with expertise in GPU-accelerated computing, machine learning, and lattice quantum chromodynamics. Currently exploring cutting-edge applications of CUDA, deep learning, and scientific computing.
| GPU & Parallel Computing | Machine Learning | Scientific Computing |
|---|---|---|
| CUDA C/C++ | TensorFlow/Keras | Lattice QCD |
| NVIDIA Stack | Scikit-learn | Mathematical Modeling |
| GPU Optimization | Neural Networks | Physics Simulations |
- Lattice QCD Sivers TMD - PhD thesis on lattice QCD calculations
- Conformal Algebra Interpolation - Relativistic dynamics research
- CUDA Accelerated Computing - NVIDIA CUDA fundamentals
- CUDA Python - GPU-accelerated Python programming
- AI-DataScience-Lab - Web app for data cleaning & analysis with ML models
- Hari-ChatBot - OpenAI-powered chatbot with Flask backend
- Neural Networks from Scratch - Deep learning fundamentals with NumPy
- Machine Learning Specialization - Comprehensive ML course solutions
- GPU Programming with C++ & CUDA - Packt publication reference
Languages: Python • C/C++ • CUDA • LaTeX • Mathematica • JavaScript
ML/AI: TensorFlow • Keras • Scikit-learn • NumPy • Pandas
GPU Computing: NVIDIA CUDA • GPU Acceleration • Parallel Computing
DevOps: GitHub Actions • Docker • LaTeX CI/CD
Specializations: Lattice QCD • Quantum Field Theory • Physics Modeling
📈 Repository Highlights:
- 30+ Active Projects
- Focus Areas: GPU Computing, Machine Learning, Scientific Research
- Languages: Python, C/C++, CUDA, LaTeX, Mathematica
- 🔧 GPU-accelerated machine learning pipelines
- 📖 Advancing knowledge in CUDA and parallel computing
- 🧪 Physics simulations and scientific computing
- 🤖 Exploring modern AI applications and generative models
⭐ Thank you for visiting! Feel free to explore my repositories and projects. ⭐