Available for SWE Internships, Summer 2026

Software Engineer, AI Builder.

CS Student @SMC | AI, Software & Semiconductor | Python • Java • ML

USC CHIPS Fellows Program AI Hackathon, Google DeepMind x UCLA PantherHacks 2026, Chapman University
3+ AI Projects
2 Hackathons
3.9 GPA
2 Languages

Projects

01 / 03
AURORA,Global Energy Crisis Simulator
Google DeepMind × UCLA Hackathon · March 2026
Google DeepMind UCLA

Real-time global energy crisis simulator powered by a multi-agent Gemini 3.1 Pro architecture. Users select a target city and adjust parameters,fossil fuel reliance, geopolitical tension, renewable integration,and two AI agents generate a structured crisis response plan with full audit trail.

  • Planner to Critic to Verdict multi-agent pipeline with human-in-the-loop validation
  • Imagen 3 generates city-specific photorealistic crisis projections
  • Live War Room UI with reactive risk orb, real-time cognition logs, and SQLite audit trail
  • Custom Web AudioContext API bridge for zero-latency audio on Safari
  • Structured JSON outputs with defensive parsing and safe fallbacks
  • Deployed on Streamlit Cloud, fully accessible, no login required
Python Gemini 3.1 Pro Imagen 3 Multi-Agent Streamlit SQLite Web AudioContext API Google DeepMind
02 / 03
Production Support Dashboard + Incident API
CS Independent Study · Santa Monica College · February 2026
SMC Independent Study

A production-grade REST API for managing incidents in real-time engineering environments. Built with JWT authentication, role-based access control, and a complete CI/CD pipeline, designed to replicate production engineering practices used at tech companies.

  • Secure REST API with JWT auth and role-based access (create/update/close/list incidents)
  • Relational data model,Users, Incidents, Events, Notes with CRUD + pagination
  • Incident timeline via event ingestion for debugging and fast triage
  • Dockerized with Docker Compose (API + PostgreSQL) + Swagger UI documentation
  • JUnit tests + GitHub Actions CI pipeline with automated test reports + badges
  • Postman test suite automated with Newman,smoke tests + health checks
Java Spring Boot PostgreSQL JWT Docker GitHub Actions JUnit Swagger REST API
03 / 03
MIRROR,Preventive Health AI
PantherHacks 2026 · Chapman University · April 3–5, 2026
Chapman University Healthcare Track

AI-powered wellness companion built in 48 hours at PantherHacks 2026. MIRROR analyzes facial images using Claude Vision AI to detect early signs of fatigue, stress, and dehydration,turning visual signals into structured health insights and personalized recommendations delivered by a voice companion, Megan.

  • Claude Vision AI analyzes 4 facial zones: eyes, skin, muscles, overall posture
  • face-api.js real-time face detection with animated green bounding box overlay
  • 3 wellness indicators: Fatigue %, Stress %, Dehydration % with animated progress bars
  • Voice companion "Megan" delivers warm, personalized health insights via Web Speech API
  • Session comparison,tracks wellness score progression across sessions
  • SQLite history with trend chart showing last 5 sessions
Python Flask Claude Vision API face-api.js SQLite JavaScript Web Speech API mkcert HTTPS

Skills

Languages

  • Python
  • Java
  • C++
  • JavaScript / HTML / CSS
  • HLA Assembly
  • SQL

AI & Machine Learning

  • Claude Vision API
  • Gemini API (3.1 Pro, Imagen 3)
  • Multi-Agent Systems
  • NLP & LLM Integration
  • Scikit-learn
  • DeepLearning.AI Certified

Backend & Infrastructure

  • Spring Boot / REST APIs
  • PostgreSQL / SQLite
  • Docker / Docker Compose
  • JWT Authentication
  • GitHub Actions CI/CD
  • Streamlit Cloud / Flask

Tools & Practices

  • Git / GitHub
  • JUnit / Postman / Newman
  • Swagger / OpenAPI
  • Algorithms (Princeton Certified)
  • Agile / Rapid Prototyping
  • Bilingual: French & English

About Me

CS student at Santa Monica College (GPA 3.9) seeking a Summer 2026 Software Engineering internship. I focus on backend development and machine learning, building production-style systems in Java/Spring Boot and Python, with hands-on experience in REST APIs, PostgreSQL, Docker, CI/CD pipelines, and ML models (regression, classification, recommender systems).

Before transitioning into software, I spent 4+ years managing complex mechanical systems in France, leading teams, owning high-visibility projects, and diagnosing failures under pressure. That operational mindset translates directly into how I write and debug code: structured, methodical, and focused on reliability.

Recently selected for the USC CHIPS Fellows Program at USC Nanolab and the Build With Gemini Hackathon at UCLA, hosted by Google DeepMind,two competitive programs that reflect my focus on applied AI and emerging technologies. I'm bilingual (French/English), certified in Princeton's Algorithms I & II and DeepLearning.AI's ML Specialization. Open to SWE, backend, or ML engineering roles.

Google DeepMind × UCLA Hackathon participant, March 2026
USC CHIPS Fellow, Semiconductor & AI program
PantherHacks 2026,Healthcare Track, Chapman University
Princeton Algorithms & DeepLearning.AI certified

Contact