Gerardo Cervantes is a speech engineer with 9 years of machine learning and computational linguistics experience, currently building production ASR systems at MetaMetrics after leading speech and translation efforts for the U.S. Army Research Laboratory. He holds an MS in Computer Science with a strong publication record and a thesis on prosody’s role in speech, and has shipped streaming ASR, on-device MT with TensorFlow Lite, and low-power neuromorphic collaborations for defense stakeholders. Known for squeezing performance from constrained platforms (e.g., recompiling C++ recognizers for ARM Cortex and cutting runtime by two-thirds), he blends research rigor with pragmatic engineering to deliver real-world ML systems. Based in Springfield, VA, he continually expands his toolkit across Python, C++, and mobile ML deployment while publishing and presenting work to both academic and operational audiences.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.90/4.0 GPA, Master of Science - MS, Computer Science, 3.90/4.0 GPA at The University of Texas at El Paso
Contributions:4 pushes, 2 branches in 4 years 4 months
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Gerardo Cervantes - Speech Engineer at MetaMetrics, Inc.