I build full-stack products with strong technical foundations and sharp visual execution — from AI-powered tools to serverless systems, idea through production.
Brooklyn, NY
I build full-stack products with strong technical foundations and sharp visual execution — from AI-powered tools to serverless systems, idea through production.
Software engineer with experience building production-grade systems across startups and enterprise — backend, system design, and applied machine learning.
I'm a Brooklyn College CS graduate who's been building production-grade software across startups and enterprise. My background spans backend development, system design, and applied machine learning — with a focus on scalable architectures, AI-powered products, and data-driven iteration.
I've founded an AI startup, built serverless automation pipelines that eliminated 90% of manual processing at an enterprise org, and trained computer vision models for real-time mobile inference. My stack runs from Python and Go on the backend to React, Next.js, and Swift on the frontend — always choosing the right tool for the problem.
What drives me is the full product loop — understanding the problem, designing the architecture, writing the code, polishing the experience, and shipping it. I bring startup energy to everything I build, whether it's a personal project or a client deliverable.
Product-minded
Idea to production
Full-stack
Frontend to infrastructure
AI / ML
Vision, YOLO, PyTorch, OpenAI
Startup energy
Ship fast, iterate always
AI-powered document analysis for students and researchers.
A full-stack web application where users upload documents and receive AI-generated summaries, analysis, and study materials. Fully deployed and actively maintained with weekly iterations.
Serverless document automation built for a client.
A production document pipeline using AWS Lambda and API Gateway to fetch documents from a client's SignNow account and archive them to S3. Built with Go for performance and reliability.
Real-time ASL translation using computer vision.
A cross-platform mobile application that recognizes and translates American Sign Language gestures in real-time. Developed as a capstone project using Flutter, Firebase, and YOLO object detection.
Oct 2025 — Jan 2026
ClarityReader
Built and operated an AI-powered document analysis platform for studying, summarization, and in-document Q&A used by college students.
Jun 2025 — Aug 2025
United Federation of Teachers Welfare Fund
Designed and deployed serverless automation pipelines processing thousands of signed documents in real time, eliminating manual processing.
Aug 2024 — Dec 2024
Vox Manus
Co-founded and built an assistive mobile application for real-time ASL alphabet recognition using on-device computer vision.
Brooklyn College — Brooklyn, New York
2020 — 2024
Full-stack development, AI/ML, algorithms, and systems design
I'm open to new opportunities, collaborations, and interesting conversations. Whether you're building a product, hiring for a team, or just want to connect — reach out.