Work with meHire an AI product engineer who ships
I'm Lara Mateo, a Tech Lead and AI Product Engineer, currently at Inhouse, an AI legal platform, where I work on its AI lawyer — most recently the connectors that bring it into ChatGPT and Claude. I take on select freelance engagements (UTC-3, with US overlap). I recently founded Kenda and previously led a team of six on a HIPAA-compliant healthcare platform.
What I can do for you
AI product features, end to end
LLM features that ship: streaming UX, agents and tool use, prompt design, evals, and the unglamorous glue. React, Next.js, TypeScript, Vercel AI SDK. Proof: the Inhouse connectors, Pagewise, and Kenda, all live.
AI cost audits & FinOps
Find out where the token spend actually goes, per agent, team, and customer, then cut the waste. This is the problem Kenda, the startup I recently founded, exists to solve.
AI in regulated domains
Data boundaries, PHI handling, prompt-injection defenses, and human-in-the-loop patterns, from years leading a team on a HIPAA-compliant healthcare platform.
Performance & accessibility
Core Web Vitals, perf budgets in CI, and interfaces that stay fast and inclusive as products grow, built at Mercado Libre scale.
Frequently asked questions
- Is Lara Mateo available for hire?
- Selectively. Lara is currently a Staff Software Engineer at Inhouse, an AI legal platform, and takes on a small number of freelance engagements when the fit is right (she works from UTC-3 with US overlap). The fastest way to start is booking an intro call at calendly.com/laramateoco/30min.
- What does Lara Mateo specialize in?
- AI product engineering: shipping LLM-powered features end to end (streaming UX, agents and tool use, prompt engineering, evals) with React, Next.js, TypeScript, and the Vercel AI SDK — currently at Inhouse (inhouse.ai), where she works across frontend, backend, and AI and builds the connectors that bring its AI lawyer into ChatGPT and Claude. She also specializes in AI cost optimization (she recently founded Kenda, an AI FinOps startup), AI in regulated domains from her years leading a HIPAA-compliant healthcare platform team, and web performance (Core Web Vitals).
- What kinds of engagements does she take?
- Freelance product builds (an AI feature or product shipped end to end), AI cost audits (finding where an LLM bill actually goes and cutting the waste), and fractional tech-lead work for small teams.
- Where is she based, and what time zones does she cover?
- Buenos Aires, Argentina (UTC-3), working remotely with strong US time-zone overlap. She has shipped for US companies including healthcare platforms and high-traffic products.
- What proof of work can I look at?
- Inhouse (inhouse.ai), the AI legal platform where she works on the AI lawyer and builds its ChatGPT and Claude connectors; Pagewise (pagewise.laramateo.com), which streams AI summaries token by token; Kenda (kenda.app), the early-stage AI FinOps startup she recently founded; her open-source work at github.com/rinava; and case studies at laramateo.com.
Let's talk about your project or role
A 30-minute call is the fastest way to see if we're a fit. No pitch, just an honest look at the problem.
Or email laramateoco@gmail.com