- Supervise the development of electrical and motor control systems in construction of a 14-foot solar power-augmented boat designed for speed and endurance competitions; manage a team of 6.- Design and assemble circuits (motor, batteries, and control modules) and conduct motor, electrical, and temperature tests to assess and verify boat’s control systems; collaborate with Data Acquisition Team, using Arduino hardware to monitor real-time voltage data to enhance boat's performance.

- Built predictive model to identify and quantify employee flight risk factors; feature engineered and tested ML algorithms to improve predictive power over standard Markov model.- Engineered ETL process in Apache AirFlow for extracting raw data from AWS S3; utilized Pandas to transform data into normalized schemas and integrated data into production model training and analytics pipeline; increased data coverage by 165%. - Designed, programmed, and evaluated an automated schema detection algorithm for extracting input features with a Large Language Model (OpenAI) API; utilized Prompt Engineering to optimize accuracy of LLM’s prediction. - Utilized Ollama LLM to parse applicant resumes and extract EEOC data to provide robust features for ML models.

- Independently designed and constructed 3.5’x 3’ quadcopter drone with solar panels for power augmentation.- Researched and evaluated drone designs, conducted field testing, and implemented necessary enhancements; utilized BetaFlight software to assess and adjust the drone’s electrical components.- Prepared and delivered presentations to APL engineers on design, development, function, and uses of quadcopter.