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.
11 years of coding experience
Bachelor's degree, Physics, Bachelor's degree, Physics at University of Illinois Urbana-Champaign
Master'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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