AI Engineer & Technical Leader
Specializing in thoughtful AI integration and large language model development. Building solutions that enhance human capabilities rather than replace them.
Specializing in thoughtful AI integration and large language model development. Building solutions that enhance human capabilities rather than replace them.
Expert in GPT-4, LLaMA2/3, RAG architectures, and prompt engineering for production applications.
Building scalable ML pipelines processing 25TB daily using PySpark, Airflow, and Azure Databricks.
Creating specialized LLM agents and multi-agent systems for research and business applications.
As a Data Scientist at General Motors and former Research Assistant, I specialize in developing intelligent, scalable AI systems. My work spans from optimizing vehicle data collection processes to creating innovative LLM applications. I hold an M.S. in Robotics Engineering from the University of Michigan, where my research focused on reducing racial bias in AI systems.
University of Michigan Deep Blue, 2022
Read PaperSpringer, AI-Enabled Technologies for Autonomous Vehicles, 2022
View PublicationSAE International, 2019
Read PaperHarvard Extension School, Cambridge,
MA
2021-Present
Bezos Foundation Pitch, 2024
Project impact and
future potential showcase
Purdue University Catapult Hackathon, 2024
West
Lafayette, IN
University of Michigan AI Symposium, 2022
Ann
Arbor, MI