Chicago, Illinois, United States
Experienced developer with a demonstrated history of working in the computer software industry. Skilled in Unity, Python, Java, and Ruby, After Effects, and many more. Strong entrepreneurship professional with a Bachelor of Science (BS) focused in Computer Science from University of Maryland College Park.
Leveraging Palantir Foundry to streamline and optimize internal data pipelines, while integrating AI solutions to drive impactful downstream enhancements.
- Designed and maintained RESTful Flask APIs that enabled the Product team to operationalize Data Science models and workflows across multiple applications. - Developed an AutoML tool to automatically label conversation topics and agent actions, eliminating costly manual annotation. - Led the implementation of a non-LLM based few-shot active-learning algorithm to assist with generating datasets for domain specific cost effective LLM fine tuning. - Standardized client-specific ML models into a unified pipeline, ensuring scalability and consistency across analyses. - Handled MLOps responsibilities including model deployment and serving, LLM enablement via Amazon Bedrock, Dockerization, CI/CD implementation, and monitoring of production models. - Implemented a wide range of classification techniques - from linear regression and HDBSCAN to spaCy transformers and Bedrock LLMs, to analyze and classify text for deeper insight and automation.
• Using AlanNLP to develop a natural language processing conversational UX for Leidos employees and customers to easily converse with and get their questions answered more easily. • Coded and tested a variety of machine learning algorithms for mass data clarification • Utilized Python’s Flask library to make a web UI and Whoosh Alchemy to manage a PostgreSQL database to handle large streams of flowing data.