Nik Caryotakis is an engineering lead building practical AI products that automate real-world chores—most notably systems that call insurance companies on users' behalf. With a Stanford BS and MS in Computer Science and a fast-moving career across startups and product roles, he blends hands-on software engineering with AI product management, shipping end-to-end solutions from prototype to production. His background includes accelerating bioinformatics tooling and clinical NLP at Verily and academic research that sped VCF processing tenfold, showing an aptitude for performance optimization in data-heavy systems. Comfortable leading small teams, he pairs rigorous engineering with a user-centered focus and the discipline of a former varsity NCAA champion. Less obvious: he repeatedly moves between deep technical implementation and product-facing roles, making him effective at turning experimental ML work into reliable customer-facing services.
1 year of coding experience
4 years of employment as a software developer
Menlo-Atherton High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
Open Source framework for voice and multimodal conversational AI
Contributions:1 review, 11 comments, 1 issue in 2 months
aichatbot-frameworkchatbotsreal-timevoice
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