Engineers and enablement practitioners.
We've been on both sides of the problem — building systems as engineers and running upskilling programs as enablement leads. We know what surveys miss and why the workflow data tells a different story.
James Nakamura
Co-Founder & CEO
Previously engineering enablement lead at a 120-engineer fintech org in Los Angeles. Spent 2021–2022 manually correlating PR review patterns and incident postmortems to identify skill gaps that skill surveys had missed — then left to build tooling that could do it at scale. Founded Tunlai in early 2023.
Priya Mehta
CTO
Graph data structures and distributed systems background. Designed the Competency Graph engine — the core inference layer that maps PR review signals, incident involvement, and ticket patterns to skill nodes. Previously built data graph systems for a logistics tech platform. Believes data minimization isn't just a privacy principle — it's good engineering.
Carlos Reyes
Head of Engineering
Platform reliability and integration infrastructure. Designed the read-only OAuth scope model, per-tenant data isolation layer, and the audit logging architecture. Came from a platform SRE role at a 200-person logistics tech company. His definition of "good security" is that engineers can see exactly what got read and when.
Soo-Jin Park
Head of Product
Previously on the buyer side — ran L&D tool procurement and program management for an engineering org of 80 people. Knows firsthand that most L&D platform decisions are made by people who can't get engineers to care about them. Obsessed with making skill gap data legible to non-technical stakeholders without losing engineering credibility.
Marcus Webb
Head of Customer Success
Onboards engineering teams and works directly with L&D managers to configure Tunlai against the specific codebase context their team operates in. Previously an engineering manager at a B2B SaaS company who ran upskilling programs from the inside — and felt the gap between what surveys said and what the incident log showed.