Electrical Engineering Intern
As an intern at SRC, I worked with three other interns to create a web application that could assist in the analysis of RADAR signals/systems. Parsing through RADAR data and doing calculations in Excel can be time consuming for signal analysts. Our project explored a solution to that issue by using large language models (LLMs). LLM Evaluation:Used LLM-based Python libraries in order to create a script that evaluates LLM responses by accuracy. Ran multiple trials to determine LLM accuracy and obtain performance-related metrics.RADAR Calculations:Wrote code in MATLAB to perform a handful of RADAR-related calculations, such as range resolution, unambiguous range, detection range, and unambiguous velocity. This code would later get implemented into the backend of our web app.Backend development:Implemented MATLAB code into tools that can be used by LLM to conduct calculations on signal data formatted as JSONs. These tools are part of a graph structure that our LLM uses.Leveraged Python libraries to run MATLAB code in our Python backend.Utilized prompt engineering in order to ensure that the LLM would run the correct script.