I build intelligent systems at the intersection of NLP, machine learning, and data — from language models and predictive pipelines to production AI applications. Industry-tested at Innovaccer, currently pushing deeper into LLMs, NLP architectures, and applied ML at SFSU.
- NLP pipelines — text classification, named entity recognition, semantic search
- LLM-powered applications — fine-tuning, prompt engineering, RAG workflows
- Predictive ML systems — end-to-end from data ingestion to deployed inference
- Data visualization layers that turn model outputs into decisions
- Research collaborations & co-authoring papers.
