Scott Halstvedt is an engineer with 13 years of experience building speech, vision, and information-extraction systems, currently contributing to Tavus after a multi-year technical progression at SoundHound AI where he advanced from software engineer to principal. He blends human-computer interaction instincts with applied AI work—shipping natural language understanding and speech search features at scale for consumer and developer-facing products. Scott has startup chops as a former co-founder and CTO, and early-career experience running campus IT operations and contributing to natural user interface projects, which together lend him both product sense and operational rigor. Based in the San Francisco Bay Area, he favors pragmatic solutions that bridge research and production, with a track record of moving prototypes into reliable services. An often-overlooked strength is his background in managing teams and infrastructure, giving him fluency in both code and the systems that run it.
13 years of coding experience
12 years of employment as a software developer
Computer Science, Computer Science at University of the Pacific
B.S., Computer Science, B.S., Computer Science at University of Montana
Computer Science, Computer Science at Rocky Mountain College
Contributions:331 commits, 47 PRs, 235 pushes in 4 months
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