At Tiger Analytics, I lead solution design and technical delivery for production AI/ML applications, translating client problems into solutions across ML, NLP and LLMs. My work includes a contract pipeline platform that uses rules and LLMs to assess rebate eligibility and surface exceptions.
I also led development of a contract digitization platform that extracted 300+ attributes from contracts with approximately 95% accuracy. I built its AI extraction and review workflow using Azure Document Intelligence, Python, Azure Functions and PostgreSQL.
At Lightcast, I built LLM and deep learning solutions for resume and job data, including multilingual mBERT-based resume parsing. I led model training, evaluation and release for a single model supporting 10 languages, and integrated models into production workflows.
Earlier at Lightcast, I developed AI/ML capabilities and PoCs and integrated ML models into a production C++ application. I also bring experience with data pipelines, analytics platforms and MLOps across AWS, Azure and GCP.
