Summary
Michael Lefkowitz is a technical leader and computational linguist with 12 years of experience building production-grade conversational AI and NLP systems, now serving as Member of Technical Staff in San Francisco. He has led and scaled teams at IBM and McD Tech Labs, driving NLU, NLG, dialog management, and voice-agent production for real-world drive-thru and enterprise ordering systems. Earlier roles at Apprente and Google reflect deep expertise in data-efficient approaches—he co-authored patents for a generative grammar–based simulation method to produce labeled training data where corpora are scarce. Michael pairs a PhD in Linguistics with hands-on engineering and product judgment, often toggling between individual contributor work, management, and technical strategy. He also taught computational linguistics at Dartmouth and UCLA, signaling a commitment to rigorous foundations as well as applied deployment. Colleagues know him for turning formal language theory into pragmatic, low-latency conversational products that work at scale.
12 years of coding experience
11 years of employment as a software developer
Bachelor's degree Linguistics, Bachelor's degree Linguistics at Dartmouth College
University of California, Los Angeles
Japanese, French