CAPABILITIES / CONNECTED TO THE WORK
I’ve picked up these tools through client projects, enterprise systems, and physics research. The examples below show where I’ve actually used them.
01 / APPLIED AI
RAG, LangGraph, LangSmith, Claude Code agents and skills, LLM evaluation, PyTorch, TensorFlow, scikit-learn, OCR, computer vision, PINNs
Legal-document retrieval, extraction and evaluation at Monico; QA agents and skills at L’Oréal.
Explore AI delivery ↗02 / BACKEND SYSTEMS
Python, TypeScript, Node.js, SQL, Flask, FastAPI, Kafka, Cosmos DB, SAP OData, BigQuery, ETL, Supabase
Inventory services, an explainable commission engine, and on-demand recalculation for SalonCentric.
Explore inventory engineering ↗03 / DELIVERY
Azure, GCP, Docker, GitHub Actions, pytest, ruff, mypy, parity testing, Azure Monitor, Kibana
Job test suites, parity checks on QA data, traceable acceptance criteria, and operational dashboards.
Explore the commission engine ↗04 / TECHNICAL LEADERSHIP
Team leadership · Requirements discovery · Technical planning · Documentation · QA handoff
Lead a team of five in Platform Engineering at L’Oréal Americas. Also led 10 vendor developers in building the shared framework and toolbox for OMS teams.
Explore my experience ↗05 / PRODUCT ENGINEERING
React, React Native / Expo, SwiftUI, StoreKit 2, WhatsApp Business API, REST APIs
Tracksip combines native SwiftUI, offline-first storage, cloud sync, and StoreKit subscriptions. Preparing for App Store launch.
Explore Tracksip ↗06 / SCIENTIFIC MACHINE LEARNING
Physics-informed neural networks · Neural architecture search · Experimental validation · Scientific computing
Solar-absorption modeling, CO2 transfer-coefficient prediction, and deployable vision architectures.
Explore the research ↗Spanish (native), English (professional), Chinese (learning)