Summary
Pranav Bansal is a software engineer with six years of hands-on experience building ML-driven and data-pipeline systems while completing a BS in Computer Science at Purdue. He has interned twice at RTX, where he designed LSTM/GRU models achieving 99%+ fault-detection accuracy from audio and is currently returning for a summer 2026 engineering role. At SDA TAP Lab he built reproducible Python pipelines to parse, label, and benchmark space observation datasets, pairing automated metrics and documentation to support ML training. Comfortable across model development and production pipelines, he combines research-style experimentation (PyTorch, source separation) with pragmatic engineering for deployment. Based in the DC–Baltimore area, he’s driven by cross-functional collaboration and a curiosity that shows in projects blending signal processing, data engineering, and reproducibility. Beyond the resume, he lists himself simply as “Human @ Earth,” reflecting a down-to-earth perspective amid technical depth.
7 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng Artificial Intelligence, Master of Engineering - MEng Artificial Intelligence at Imperial College London
High School Diploma, High School Diploma at Modern School
Hindi, English, French