I’m a software and robotics engineer with a background in simulation, sensor systems, and embedded ML. I hold an MS in Mechatronics and Robotics from NYU and a BEng in Electrical and Mechanical Engineering from the University of Edinburgh. I build systems that work at the boundary of physical hardware and software — from robot simulation and sensor pipelines to performance-critical inference on edge devices.
🔗 GitHub
(May 2025 - Jan 2026)
Built an AR application for Snap Spectacles with multimodal Gemini AI integration for real-time engineering project guidance. Implemented low-latency object detection for scene understanding to provide contextual recommendations. Integrated a Supabase backend for user data persistence and shared project collaboration. Won the Snap Spectacles Community Challenge ($3,000 prize) and was featured in Snap's Q4 2025 earnings report and the Financial Times.
Lens Studio · TypeScript · Gemini API · Supabase · ONNX / SnapML · YOLOv7
(Dec 2024 - Feb 2025)
Simulated an airport baggage handling system using ROS and Gazebo, integrating a TurtleBot3 mobile robot, UR5 robotic arm, and LiDAR sensor. Researched LiDAR-based perception models to detect and classify baggage handling error conditions in real time and trigger appropriate corrective actions.
ROS · Gazebo · LiDAR · UR5 · Python · pybullet
(Aug 2022 - Aug 2023)
Developed a low-power pedestrian detection and counting system for the NYC Office of Technology & Innovation (NYU AI4CE Lab). Deployed a TensorFlow Lite model on a Google Coral Dev Micro for on-device camera-based inference. Used Gaussian Process Regression to predict pedestrian counts during the device's off-duty cycle. Built an AWS backend and dashboard for data collection and visualization.
TensorFlow Lite · Google Coral · Edge ML · Computer Vision · AWS · Python