Open to software engineering internships, backend roles, and full-stack product teams.
Full-stack developer and backend-focused software engineer
I like the engineering work behind useful software: data models, APIs, performance constraints, deployment details, and interfaces that make complex systems feel approachable.
Portfolio AI
A recruiter-friendly assistant that answers from the structured project and skills data behind this site.
Selected work
Backend architecture, internal tooling, machine learning, research automation, and frontend work that shipped to real users.
Full-stack AI product developer
Built an AI presentation coach that listens, watches, reacts, asks follow-up questions, and generates actionable feedback from speech, visual, and audio signals.
backend
Backend and architecture lead
Designed a backend architecture for prompt workflows using graph queries, relational storage, and API layers built for iteration.
full stack
Full-stack/backend developer
Built workflow support for internal agricultural operations with APIs, database-backed tools, and clearer operational visibility.
ML/data engineer
Built a data pipeline and modeling workflow for large-scale property assessment, with attention to fairness, evaluation, and interpretability.
Skills by evidence
Each skill area is tied to project evidence so recruiters can scan quickly and engineers can inspect the details.
PitchCoach
Live speech capture, webcam/audio signals, Node backend, Gemini/OpenAI integration points, and structured AI feedback.
PromptParty
FastAPI, GraphQL, Neo4j, Supabase/PostgreSQL, query design, and API boundaries.
Behn Meyer Agricare
PostgreSQL-backed workflow support with practical API design for operations.
Property Assessment ML Pipeline
200k+ records, pandas, scikit-learn, fairness slices, and model communication.
UCSC SIP
Python and regex automation for transcript cleanup and qualitative workflow support.
SAS Marketplace
Django, deployment, real users, and practical product iteration.
UCSB Event Website
Responsive React/Tailwind implementation for a client-facing site.
Current direction
Timeline
Now
Building graph-backed workflows, API layers, and data-rich full-stack interfaces.
2025
Worked across internal APIs, PostgreSQL workflows, large records, and fairness-oriented model analysis.
2024
Used Python automation and reinforcement learning experiments to support analysis and learning systems.
2023
Shipped a Django marketplace for a school community and learned from real user feedback.