Designed and developed AI-driven healthcare data systems using Python and AWS cloud infrastructure (Bedrock, SNS, SQS, Kubernetes) for scalability, reliability, and proper handling of sensitive data

- Led development of proof of concept project for LLM integration (LangChain) into healthcare data processing pipeline- Worked with cross-functional teams including healthcare professionals to build and improve new and existing products- Engineered and optimized service-based, event-driven platform leveraging technologies including Flask, Kafka, RabbitMQ, and Docker deployed across multiple hospital systems- Improved PostgreSQL, ElasticSearch, and Redis performance through architecture optimization- Enhanced testing infrastructure, significantly improving development efficiency, and helped standardize coding and documentation processes- Developed ETL and NLP pipelines to load, process, and update data in a single traceable knowledge graph

Advanced sociological research through innovative application of data science and machine learning techniques. Analyzed opinion polling and archive data using machine learning and techniques such as Belief Network Analysis and Correlational Class Analysis, uncovering evolving patterns in public opinion. Prototyped and developed research and teaching tools using Ruby, Javascript, R, machine learning libraries, and other technologies. Led classes and worked with students to incorporate sociological concepts into their studies in different disciplines, including sociology, molecular and cell biology, and computer engineering. Completed coursework towards Sociology degree, including statistical training.

Built collaborative Drupal web application for Federation of American Scientists