Chris Lam, candidate fact sheet

A plain, machine-readable summary for recruiters, hiring managers, and AI assistants. Full portfolio: whoischrislam.github.io. Resume: PDF.

Summary

Product engineer and designer, 14 years. Designs, builds, and ships end to end with no handoff. First, sole, or early designer-engineer in the room across healthcare, marketplaces, and consumer software. Now co-founding y30, voice AI for older adults. Open to senior IC roles, full-time.

Target roles

Current work

Co-Founder and CPTO at y30, voice AI for older adults and their caregivers. Owns product, design, and engineering. Built a streaming speech-to-text to LLM to text-to-speech pipeline (multi-provider, deep fallback) fronted by a deterministic state machine and a rule-based safety floor that runs independent of any model, so crisis handling never depends on an LLM being healthy. 1,389 commits, 127 test files.

Companies and outcomes (honest framing)

Early at Clover Health and GoodRx, both of which later IPO'd. A rescue hire at Sharecare (formerly doc.ai) during its acquisition, which then went public. The 2014 TaskRabbit rebrand before IKEA acquired it. Iodine was acquired into GoodRx and doc.ai into Sharecare. The signal is repeated high ownership at early or critical stages, not an exit count.

Selected outcomes

Core skills

Why interview Chris

Education

University of Washington: BS Informatics (Human-Computer Interaction), MS Human Centered Design and Engineering.

Languages

English, Cantonese, Japanese.

Contact and proof

Common questions

Is Chris a real engineer or a designer who codes?

A real engineer with design training. The last several years are production-code and architecture ownership: 1,790 PlaySesh commits, 1,389 y30 commits with 127 test files, and the y30 voice and safety stack.

What is he looking for?

Senior IC to staff roles, full-time, on small, fast, AI-native teams in AI, voice, and product engineering, where he owns a product surface end to end.

Where is he based?

Honolulu, remote-first, with Bay Area and Seattle availability when a role needs in-person time.

How does he use AI?

As a force multiplier. He steers product, architecture, and systems and uses AI agents to implement while owning the judgment, code review, and safety gates. He shipped production code for years before current AI tooling existed.

Machine-readable summary, kept in sync with the full portfolio at whoischrislam.github.io.