Pranav Bansal
Software Engineer Intern at RTX
Washington DC-Baltimore Area United States
Summary
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Rockstar🎓
Top SchoolPranav 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.
6 years of coding experience
1 year of employment as a software developer
Advanced High School Diploma, Advanced High School Diploma at Lightridge High SchoolAdvanced High School Diploma, Advanced High School Diploma at Academies of LoudounBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Purdue University
English, Spanish, Hindi
Stackoverflow
848reputation
79kreached
41answers
6questions
Github Skills (87)
parser10
github10
python10
beautify10
cpp10
javascript10
animation10
api10
github-api10
antlr10
golang10
swift10
dart10
github-api-v310
pretty-print10
Programming languages (9)
Github contributions (5)
goDoCer/imperial-computing-materials-downloader
Oct 2020 - Feb 2021
Contributions:50 commits, 37 pushes, 1 branch in 3 months
goDoCer/scientiaCLI
Mar 2022 - Oct 2022
Contributions:5 releases, 8 reviews, 114 commits in 7 months
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