AI/ML Engineer building production-oriented intelligent systems across NLP, LLM applications, retrieval-augmented generation, and data-driven decision support.
My work focuses on turning messy real-world data into usable AI/data products through practical model design, reliable backend architecture, and clear user-facing delivery.
On this GitHub, you’ll find projects around document intelligence, local-first RAG systems, customer feedback analytics, sentiment intelligence, risk segmentation, churn prediction, ML dashboards, FastAPI services, and data pipelines.
I work across the full lifecycle of AI systems: data ingestion, preprocessing, modelling, evaluation, API development, deployment, monitoring, and iteration.
I’m especially interested in applied AI products that solve real operational problems for startups, product teams, consulting teams, and data-driven businesses.


