About
I studied Computation and Cognition, a joint computer science and neuroscience major, at MIT. Then I worked part-time as a full-stack engineer for a creative agency, then joined GUESS as a data analyst in 2024.
In 2025 GUESS leadership wanted to use AI to make everyday work less tedious, and asked for my findings. I wrote the report that recommended forming an AI team. That team became the Global AI Office, and I have been building its AI systems since. The work runs from requirements and architecture through the build, security review and vendor scoping, to getting people to actually use it.
On the side I build websites for clients through NJR Solutions, plus personal projects that come from my own life. Outside work I bake, run Spartan races, draw and paint, and watch a lot of horror movies.
At GUESS
- Built an LLM pipeline that writes structured style attributes for thousands of products, feeding search and recommendations
- Helped roll out Copilot and ChatGPT Enterprise across the company; Copilot now has more than 1,000 active users
- Built AI automations for HR, Payroll and Internal Audit
- As a data analyst, built a classification model that assigns style personas to millions of customers, refreshed weekly
Experience
| Role | Where |
|---|---|
| AI Solutions Architect, Global AI Office2025 to now | GUESS, Los Angeles |
| Data Analyst2024 to 2025 | GUESS, Los Angeles |
| Full-stack engineer | Patternbreak, Los Angeles |
| Full-stack engineer | Cashear, remote |
| Product design and development | AI4XRAY, University of Copenhagen |
| Full-stack engineer | Akello Health, San Francisco |
| Full-stack engineer | Conservation X Labs, San Francisco |
| Data visualization | HelpGuide, remote |
| Front-end engineer | Rivet, remote |
| Research assistant | MIT Media Lab, remote |
| Research assistant | MIT AgeLab |
Education
MIT, B.S. in Computation and Cognition (joint computer science and neuroscience), 2023
Skills
- AI
- LLM apps, retrieval and RAG, embeddings and vector search, guardrails, evaluation, LoRA fine-tuning, classical ML
- Models and platforms
- Claude, OpenAI, Gemini, AWS Bedrock, Hugging Face, Pinecone, Replicate
- Engineering
- Python, TypeScript, React, Next.js, FastAPI, Streamlit, SQL, Postgres and Supabase, AWS (Lambda, OpenSearch Serverless, DynamoDB, S3), GitHub Actions
- Websites and design
- WordPress, Wix, Squarespace, Figma
- Enterprise tools
- Copilot Studio, Power Automate
Elsewhere
Working on applied AI, or have a project in mind? Email me.