AI/ML Engineer · LLMs · NLP · MLOps · AI Agents
Building intelligent systems end-to-end — from model training to production deployment.
- LLMs & Generative AI — fine-tuning, RAG pipelines, prompt engineering
- NLP — text classification, embeddings, named entity recognition
- MLOps — model serving, experiment tracking, CI/CD for ML
- Data Science — EDA, feature engineering, statistical modeling
- RL — reward modeling, policy optimization
- AI Agents & Automation — multi-agent systems, tool-use, agentic workflows
- Working on: [Agent to locally handle my machine and OS]
- Learning: [n8n]
- Open to: collaboration on AI/ML projects
