About Me

I am a Machine Learning Engineer with deep expertise in computer vision, reinforcement learning, and generative AI. I specialize in building and deploying end-to-end ML systems across diverse domains including medical imaging, 6G/THz communications, and clinical NLP.

Machine Learning

Expertise in PyTorch, Scikit-Learn, TensorFlow, Keras, LangChain, NumPy, Pandas, and OpenCV. Experience with LLMs (Gemma, LLaMA, Qwen), LoRA fine-tuning, and generative diffusion models.

Software Engineering

Proficient in Python and C/C++. Experienced in building web applications with FastAPI, and deploying with Docker and Docker Compose. Familiar with Git, pytest, ruff, and ONNX.

MLOps & Cloud

Familiar with AWS, CI/CD pipelines, GitHub Actions, MLflow, Weights & Biases, transformers, and Portainer for tracking and managing machine learning experiments.

Systems & Hardware

Experience with Linux, Raspberry Pi, NVIDIA DGX, and Matlab/Simulink.