I am a Summa Cum Laude Computer Science graduate and a versatile Software Developer with a proven track record of leading high-impact projects from conception to deployment. Most recently, I served as the Lead Developer for Lumigo, where I was the sole developer responsible for the end-to-end design and implementation of a commercial real-time audio analysis platform. My expertise lies in building scalable full-stack applications, engineering low-latency real-time systems, and integrating advanced AI/ML models into production environments.
I specialize in React, Next.js, and TypeScript on the frontend, with deep experience in Node.js, Python (FastAPI/Django), and Java on the backend. My technical foundation is further bolstered by years of hobbyist experience in C# (Unity), giving me a strong grasp of object-oriented principles and high-performance logic. Whether working independently as a Lead Developer or collaborating in Agile teams, I focus on writing clean, maintainable code and making architecture decisions that ensure long-term scalability.
Technical Expertise
Frontend: React, Next.js, TypeScript, Vue.js, TailwindCSS, Astro, Nuxt.js
Backend: Node.js (Express, NestJS), Python (FastAPI, Django, Flask), RESTful APIs, WebSockets
Database & Infrastructure: PostgreSQL, MySQL, Redis, MongoDB, Docker, Nginx, Vercel, Supabase
AI/ML & Automation: Google Gemini API, OpenAI API, TensorFlow, PyTorch, Custom AI Evaluation Frameworks
Version Control: Git, GitHub, GitLab (CI/CD pipelines)
Featured Projects
Commercial Real-time Audio Platform (Lumigo): Sole developer for an end-to-end audio control system. Engineered a low-latency signal processing pipeline using FastAPI and Electron to maintain 30 FPS hardware output.
Real-time Social Platform: Managed production-level Next.js and TypeScript environments, implementing secure authentication, real-time user matching, and backend API logic.
High-Concurrency Betting Platform: Engineered a real-time, multi-role platform handling high-concurrency events with Redis and complex accounting synchronization.
AI Meal Plan Assistant: Built a Flask-based AI assistant using Google's Gemini API, featuring a custom evaluation framework with 25+ test cases for rigorous output validation.
ShieldRice Classifier: Developed a real-time CNN-based image classification app (MobileNetV2) with a live prediction gallery.
I am a reliable, execution-focused developer who thrives on solving complex technical challenges. I am comfortable working with agentic AI tools to accelerate development and am committed to providing transparent daily progress updates.
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