Chris Hua is an AI-focused engineer and founder with 11 years of experience building production-grade ML systems and infrastructure for high-throughput, mission-critical products. He led ML engineering at Square/Cash App—delivering deep learning models that produced eight-figure annual savings and architecting an inference stack serving up to 100k QPS—then founded Tincans to build the world’s first real-time AI voice chat with a joint audio-LLM architecture. As a consultant and angel investor he advises hedge funds, large law firms, VCs, and many startups on AI/ML integration and technical diligence. His work spans research, product, and systems optimization (including latency wins that measurably improved customer experience), and he’s recently contributed to audio-LLM research at Character.AI. Based in New York, he combines academic training from Wharton with hands-on engineering and a knack for turning bleeding-edge research into scalable products.
11 years of coding experience
9 years of employment as a software developer
KU Leuven
Management & Technology Summer Institute
Interlake High School
Economics, Finance and Statistics, Economics, Finance and Statistics at The Wharton School
Contributions:1 release, 20 commits, 1 PR in 2 years 4 months
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