Experience
Places I've worked, and what I built there.
I've worked on manufacturing operations, early-stage products, mobile health, education, and applied ML. The longer entries include the decisions, tradeoffs, and lessons—not just the stack.
Apr 2026 – Present
Current
Redwood City, CA
Software Engineer, Foundation Industries
Full-time (Summer 2026)
Full-stack platform engineering for manufacturing operations — production software connecting quoting, engineering review, CNC scheduling, machine data, and shop-floor visibility.
- Build production software spanning customer quoting, engineering review, manufacturing planning, CNC operations, and shop-floor visibility.
- Contributed to an interactive 3D CAD review experience with direct feature selection and DFM annotations — replacing older GLB-based annotation flows and saving an estimated 2–3 engineering hours per order.
- Helped implement machine-data infrastructure (Haas CNC via MTConnect-style data → Raspberry Pi collector → PostgreSQL/Supabase) feeding facility dashboards for spindle time, runtime, utilization, and production-slot calculations.
- Worked on production reliability: route protection and permissions, Stripe webhook idempotency, audit ledgers, and Playwright/Vitest end-to-end testing in CI.
Next.jsReactTypeScriptSupabasePostgreSQLStripeCAD/CAMCNC / MTConnectRaspberry PiRead the case study
Mar 2026 – May 2026
Remote
Founding Engineering Intern, Veevo Health
Part-time
Built early mobile and web workflows for heart-health tracking, wearable-data integration, and AI-assisted meal and lifestyle analysis.
- Designed early product architecture across onboarding, health-record syncing, and cardiovascular risk-factor tracking.
- Built end-to-end features across Expo mobile clients, Python APIs, and PostgreSQL data workflows.
- Translated wearable and meal data into user-facing health insights (no clinical-effectiveness claims).
Expo (React Native)PythonFastAPIPostgreSQL- RG
2025 – 2026
Remote
AI Developer, RARE Global
Part-time
Built planning and tracking workflows for BridgeUp, an AI-assisted college-application platform used by about 500 beta users.
- Built application timelines, planning workflows, and user-data models for structured college-application guidance.
- Supported about 500 beta users and contributed to a migration toward AWS-based infrastructure.
- Shipped SEO improvements, automated newsletters, and UI fixes.
SupabaseAWSNext.jsAI workflows 
Dec 2025 – Mar 2026
Remote
Founding Engineer, Mentiora
Part-time
Led full-stack development of an AI-powered GCSE revision platform — turning assessment signals into a persistent adaptive-learning loop that reached ~10,000 monthly learners at peak.
- Designed core architecture across authentication, database schema, payments, and usage-based access control.
- Built adaptive learning flows: diagnostics, mastery estimation, daily study plans, and AI-assisted grading of written responses.
- Helped scale the platform to roughly 10,000 monthly learners at peak usage.
Next.jsTypeScriptSupabaseOpenAI APIStripePostHogTailwind CSSRead the case study
Sep 2025 – Mar 2026
Remote
Software Developer, Civoren
Part-time
Built civic-information and voter-facing dashboards, plus the growth-engineering around them — SEO, high-volume email outreach, and scheduled backend workflows.
- Built civic-information / voter dashboards surfacing election and policy information.
- Improved search discoverability through SEO and sitemap work.
- Ran high-volume communication systems: scheduled backend processes, newsletters, and mass-email outreach supporting user acquisition.
Next.jsSEOScheduled jobsEmail systems
Aug 2025 – Dec 2025
San Francisco, CA
Software Developer Intern, OptiGenix
Internship
Built genomic health-analytics dashboards and ML-powered diagnostic prototypes that made complex biomarker data understandable.
- Built Next.js interfaces and database pipelines for patient biomarker visualization.
- Prototyped ML-powered diagnostic views (prototypes, not clinically validated systems).
- Focused on making genomic and biomedical data readable and usable.
Next.jsPythonData pipelinesML prototypes
Jun 2024 – Aug 2024
Pleasanton, CA
AI Developer Intern, HiPaas
Internship
Contributed PyTorch model components and data pipelines to a multi-task framework predicting payer responses from patient claim data.
- Built PyTorch components for a multi-task learning framework over structured medical claims data.
- Prepared model-ready features: data cleaning, label preparation, and training/evaluation pipeline support.
- Integrated intern-team deliverables through standups, code reviews, and deployment prep.
PythonPyTorchPandas