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Tomas Gonzalez

@gztomas

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Product-minded engineer building AI agent and generative UI systems with TypeScript, React, and Python.

Argentina

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What I'm looking for

I want to build product experiences with strong UX, reliable async backends, and thoughtful observability. I’m excited by teams that value rapid iteration, feedback, and measurable impact.

I’m a product-minded engineer with 18 years of experience, comfortable building from zero to one, and driven by UX sensibility. I specialize in turning AI capabilities into usable product surfaces—fast, interactive, and measurable.

At Cased, I designed and built a generative UI system in Python, React, and TypeScript that uses LLMs to render dynamic dashboards with interactive visualizations. I also rewrote the core AI agent harness in Python with an async architecture and structured output, backed by Postgres via Django, and built an interactive infrastructure map with canvas-based visualization, real-time issue detection, and inline remediation actions.

Earlier, at Gantry and ASAPP, I built LLM playgrounds and RAG evaluation tooling, plus ML observability dashboards with a Python REST API backed by Postgres (SQLAlchemy/Alembic). At ASAPP (Lead → Staff), I built the agent composer used by 300+ agents, implemented AI-powered autocomplete that automated up to 80% of responses, and instrumented UX metrics to drive product decisions—then supported growth through hiring and technical direction.

Experience

Work history, roles, and key accomplishments

Software Engineer

Cased

Sep 2024 - Mar 2026 (1 year 6 months)

Designed and built a generative UI system in Python, React, and TypeScript that uses LLMs to render dynamic, interactive dashboards. Rewrote the AI agent harness with async Python architecture and structured output, backed by Postgres via Django, and delivered a React infrastructure map with canvas visualization and real-time issue detection plus inline remediation.

Python TypeScript React LLM Generative AI Django Postgres Canvas Visualization

Software Engineer

Gantry

Mar 2022 - Sep 2024 (2 years 6 months)

Built an LLM playground in React and TypeScript with a visual grid for side-by-side comparison across chat and completion modes. Developed a RAG evaluation tool for reviewing production agent interactions with retrieved document context and human feedback, and shipped ML observability dashboards using a React front end with a Python REST API backed by Postgres (SQLAlchemy/Alembic).

React TypeScript LLM Playground RAG Observability Postgres SQLAlchemy Alembic

Staff Software Engineer

ASAPP

Jan 2019 - Feb 2022 (3 years 1 month)

Built the agent composer in React, TypeScript, GraphQL, and ProseMirror, powering the core real-time chat interface used by 300+ agents at JetBlue, American Airlines, and other enterprise clients. Implemented AI-powered autocomplete that automated up to 80% of agent responses, instrumented UX metrics to measure agent efficiency, and created a visual node-based chatflow builder with testing practic

React TypeScript GraphQL Prosemirror Autocompletion UX Metrics Instrumentation Playwright Node Based Canvas

Senior Software Engineer

Medallia

Jul 2017 - Jan 2019 (1 year 6 months)

Built React modules from scratch for Medallia’s CX platform serving 500+ enterprise clients, including 32 Fortune Global 100 companies. Developed a real-time WYSIWYG survey branding editor, created a Gherkin test dashboard for PMs, and built Node BFF services to aggregate backend APIs and tailor front-end payloads.

React JavaScript BFF (Backend For Frontend)WYSIWYG Gherkin