AI / ML

Machine learning and AI development — from classical algorithms to large language models. Applied across 30+ projects.

Proficiency: Advanced

Scope

• Classical ML: scikit-learn for regression, classification, clustering
• Deep Learning: PyTorch and TensorFlow for neural network design
• LLMs: Prompt engineering, fine-tuning, RAG pipelines (OpenAI, Anthropic, HuggingFace)
• MLOps: Model versioning, evaluation frameworks, API serving via FastAPI

Foundation

Grounded in Mathematics — specifically linear algebra, probability theory, and Statistics.

Related: Python, Data Science, Mathematics