Full-stack engineer · AI applications · GTM engineering
I build full-stack products and the automation behind revenue teams: LLM-powered features, lead and account data pipelines, and integrations that connect the tools a business already runs on.
Open to full-stack, AI engineering, and GTM engineering roles.
- Full-stack products: TypeScript and React frontends, Node.js and Python APIs, SQL and document databases, from first prototype to production.
- AI applications: LLM features on top of model APIs, including structured extraction, classification, summarization, retrieval (RAG) and tool-using agents, with evaluation and guardrails so they behave predictably.
- GTM engineering: lead sourcing and enrichment, email finding and verification, CRM and outreach integrations, scraping, and workflow automation that turns manual prospect research into repeatable pipelines.
- Languages: TypeScript, JavaScript, Python, PHP, SQL
- Frontend: React, Redux, Vue / Nuxt, Material UI, Tailwind
- Backend: Node.js / Express, Flask, Django, Laravel, REST and GraphQL APIs
- Data: MySQL, MongoDB, pandas, NumPy
- AI: LLM APIs, prompt and tool design, RAG, agents, evals
- GTM & automation: enrichment APIs, CRM integrations, web scraping, Selenium, workflow automation
| Project | Area | What it shows |
|---|---|---|
| Hunter.io Python SDK | GTM | Typed client for email finding, domain search and verification (the building blocks of lead enrichment), with response caching and tests. |
| Scraping & automation | GTM / data | Queue-based profile scraping, GraphQL data collection, and browser automation for reporting tools that have no API. |
| Retail business software | Full-stack | Admin app for a print-on-demand catalog: one-click SKUs, variant pricing, trademark screening, and Shopify/Etsy listing data. |
| Statistics dashboard | Full-stack / data | React + Express app that runs Python (pandas, NumPy, SciPy) analysis jobs and charts the results. |
LLM-driven GTM workflows: account research, lead enrichment and qualification, and personalized outreach, built on solid API integrations and data pipelines.