I build end-to-end data science and AI systems — from raw data to deployment.
My work focuses on practical implementation beyond notebooks, applying Machine Learning, NLP, and Generative AI to real-world problems.
What I work on:
- ML pipelines (data preprocessing → feature engineering → model training → evaluation → deployment)
- NLP and deep learning applications
- LLM-based systems, including RAG pipelines
- Experimentation, evaluation, and model performance tracking
- Deployment and monitoring using AWS SageMaker
Currently exploring: AI Agents, Agentic AI, and LLMOps — with a focus on building scalable, production-ready systems.
Focused on building systems that are practical, reliable, and ready for real-world use.
