Engineering datayou can actuallytrust.
I build production data pipelines, AI products, and self-serve analytics that turn messy operational data into decisions companies actually trust.
A shortintroduction.
I'm a Data Engineer and full-stack software engineer with 4+ years building ETL pipelines, canonical data models, and the dashboards that power company-wide reporting.
I work the full surface area — Python, SQL, dbt, and the BI tools on top — and I partner closely with Product, GTM, and executive teams to translate fuzzy questions into scalable, high-integrity data products.
I care deeply about building helpful, honest, and harmless AI, and I'm drawn to teams shipping work in that direction.
Selectedexperience.
- 01
Infinite Music (Thizzler on the Roof)
Technology Lead — Full-Stack Software Engineer
- Built infinitemusic.io end-to-end — security, backend (FastAPI/Python/SQL), and frontend (TypeScript/React) — delivering an internal platform for digital distribution, royalties, and release management.
- Designed multi-step ETL pipelines integrating 4+ royalty data sources into canonical datasets, powering self-serve dashboards that reduced ad-hoc reporting requests by ~80%.
- Optimized MySQL/PostgreSQL query performance, established data integrity standards, and led cross-functional sprints with offshore teams.
Jun 2025 — Present - 02
Ask Coach!
Data / ML Engineer
- Built the AI engine powering Coach's Pick, a sports betting app — unifying decentralized sources into a centralized Postgres database feeding TensorFlow prediction models for game outcomes and player props across all major U.S. sports.
- Architected scalable data pipeline integrations with live sports analytics APIs (Python, Swift), establishing SLAs for timely, accurate delivery of real-time feeds.
Mar 2023 — Present - 03
San Jose Fire Department
IT Analyst — Data & Analytics
- Defined key metrics, built capacity planning forecasts, and developed Power BI dashboards that informed strategic resource allocation for 1,500+ personnel.
- Analyzed large-scale operational data to identify preemption trouble zones, delivering insights that reduced emergency response bottlenecks by 20%.
- Translated stakeholder data needs into technical requirements for the IT Master Plan. Awarded Devoted Service (Class C).
Dec 2023 — Jun 2025 - 04
Los Angeles Apparel / Yeezy
AI Engineer & Consultant
- Designed scalable data pipelines and AI-driven products for production optimization; advised cross-functional teams on AI integration strategy.
Oct — Dec 2023 - 05
Orange (Global Telecom)
Data Scientist Intern
- Built a universal internal chatbot (vector DBs + GPT-4) that improved self-serve knowledge accessibility globally.
- Deployed and fine-tuned LLMs (Llama 2, Falcon-40B) on AWS — reduced video editing time 75% and newsletter production 50% with custom GPT-3 models.
- Authored Generative AI reports for C-suite stakeholders on training and usage ethics.
- Co-authored peer-reviewed paper at ACL LoResMT 2023 on the Bambara-French Machine Translation Competition.
Oct 2022 — Aug 2023
ThingsI've shipped.
infinitemusic.io
Full internal platform for digital music distribution, royalty ingestion, and release management — built solo, end to end.
Coach's Pick AI Engine
Real-time sports prediction engine unifying live odds, stats, and historical data into TensorFlow models that advise daily bets.
1piece.gg
A learning hub for the One Piece TCG — AI-generated matchup analysis built on weekly tournament data, helping new and competitive players understand the meta at a glance.
SJFD Capacity Planning
Power BI dashboards + forecasting that drove a 20% reduction in emergency response bottlenecks across 1,500+ personnel.
BFMT 2023 — Bambara-French MT
Co-organized and co-authored peer-reviewed research at ACL LoResMT 2023 advancing low-resource machine translation.
Orange — Internal AI Chatbot
GPT-4 + vector DB knowledge assistant deployed across departments globally, improving self-serve access to internal knowledge.