Philipp Srivastava
CIERA Post-Baccalaureate Fellow
Wilmette, Illinois, United States
Summary
👤
Senior🎓
Top SchoolPhilipp Srivastava is a culturally fluent software engineer and researcher with nine years of experience building ML-powered tools and production-ready applications, currently a CIERA Post-Baccalaureate Fellow at Northwestern University. He applies electrical engineering and computer science rigor to astrophysics problems—optimizing RAM for stellar evolution simulations and developing ML models that enhance simulation detail. His background spans biomedical image classification and object detection for rapid COVID-19 diagnostics, agile classroom-scheduling software, and consumer-facing mobile and web apps, reflecting versatility from research to product. Fluent in four languages and having lived in three countries, he brings adaptable, out-of-the-box thinking to cross-disciplinary teams and complex debugging challenges. An independent thinker who balances publication-oriented work (plots and model evaluation) with pragmatic engineering fixes, he excels at turning research code into robust, usable systems.
9 years of coding experience
1 year of employment as a software developer
Bachelors of Science, Computer Science, Bachelors of Science, Computer Science at Denison University
Chinese, German, Portuguese, English
Github Skills (60)
react-native9
ios9
simulation9
synthesis9
evolution9
android9
modeling9
react9
stellar9
react-native-image8
cross-platform8
image8
mobile7
push-notifications7
image-viewer7
Programming languages (6)
Github contributions (5)
prinse1545/DeepCovidXR
Jun 2021 - Sep 2021
A deep learning artificial intelligence model to detect COVID-19 on chest X-rays
Contributions:53 commits, 50 pushes in 3 months
deep-learningraysartificialmachine-learningchest
prinse1545/LokelWebsite
Apr 2019 - Mar 2022
A website to obtain beta testers from
Contributions:1 review, 2 PRs, 14 pushes in 2 years 11 months
beta-testerstesters
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