Senior Machine Learning Engineer at Amira Learning
Greater Boston United States
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Summary
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Senior
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Top School
Saurabh Sawlani is a Senior Machine Learning Engineer with eight years of experience specializing in neural text-to-speech and speech technologies. He has progressed from research roles—including a postdoc at Carnegie Mellon focusing on graph neural nets and spectral embeddings—to hands-on production TTS and ASR engineering at SoundHound AI, and now leads ML efforts at Amira Learning. His background combines deep algorithmic training (PhD in ACO from Georgia Tech) with practical large-scale systems experience, including a Facebook internship working on traceroute-based network inference. Saurabh brings a research-to-production mindset, comfortable moving models from novel architectures to robust deployment in education and voice products. An uncommon angle: his work bridges graph-based anomaly detection research and sequence modeling for speech, giving him a multidisciplinary perspective on structure and signal in ML systems.
8 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Algorithms, Combinatorics and Optimization, Doctor of Philosophy - PhD, Algorithms, Combinatorics and Optimization at Georgia Institute of Technology
Contributions:24 pushes, 1 branch in 2 years 8 months
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Saurabh Sawlani - Senior Machine Learning Engineer at Amira Learning