Steve Baek

Research Engineer at Stealth AI Startup

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
🎓
Top School
Steve Baek is a research engineer with 11 years of experience specializing in AI-driven speech and media security systems, blending academic rigor from CMU with industry collaborations including a year-long research partnership with Apple. He has built large-scale ASR datasets and engineered hybrid models that combine Whisper encoders with LLaMA-style decoders to improve multi-segment transcription in real-world settings. At CMU he developed scalable multi-modal deepfake detection algorithms and explored image watermarking methods inspired by StegaStamp to strengthen media integrity verification. His background in physics (UIUC) and applied ECE (CMU) informs a signal-processing-first approach to problems spanning ASR, ASV, and synthetic media analysis. Currently at a stealth AI startup, he focuses on scalable, deployment-ready systems that close the gap between cutting-edge research and operational robustness. An often-overlooked strength is his knack for integrating domain-specific physics insights into ML pipelines to boost detection reliability.
code12 years of coding experience
bookBachelor's degree, Physics, Bachelor's degree, Physics at University of Illinois Urbana-Champaign
bookMaster's degree, Electrical and Computer Engineering - Applied Study, Master's degree, Electrical and Computer Engineering - Applied Study at Carnegie Mellon University
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Github Skills (25)

data-science7
pytorch7
machine-learning7
tensorflow7
python7
deep-learning6
medical-image-computing6
imaging6
medical-image-processing6
jax5
computational-geometry4
ai4
pose-estimation3
human-pose-estimation2
css2

Programming languages (7)

TypeScriptC++TeXJavaScriptJupyter NotebookMATLABPython

Github contributions (5)

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stephenbaek/bigdata

Aug 2019 - Nov 2019

Contributions:57 commits, 96 pushes, 2 branches in 3 months
Stephen Baek, Computational Geometry & Machine Learning
Contributions:77 commits, 11 PRs, 108 pushes in 4 years 1 month
computational-geometrymachine-learning
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