Hi i'm Gabriel Bendix, a UF Student
I lead the development of The Lens Link, a mobile-first, multi-vendor marketplace that pairs independent eyewear sellers with buyers worldwide. The platform fuses a React Native app and a headless Medusa backend to deliver seamless shopping, prescription management and automated fulfillment all while safeguarding user privacy. The app is currently available on the App Store.
Co-author on a real-time, edge-native pipeline for drone swarms. An FPGA vision front-end performs multi-object tracking and an on-device LLM turns tracks into compact semantic summaries running on a Zynq UltraScale+ KV260 at ~15 FPS with ~66.7 ms latency and 6–10 W, enabling resilient, no-cloud swarm ops.
Deployed GPU-accelerated computer vision pipeline with ZED 2i depth perception camera, cutting end-to-end latency by 15%. Applied CUDA and ROS on Ubuntu Linux to run autonomous navigation algorithms for a robotics competition.
I build custom, low-precision neural-network accelerators on PYNQ FPGA Board using FINN, turning quantized PyTorch/ONNX models into streaming, hardware pipelines for edge AI. The work targets W2–W8/A2–A8 quantization to hit real-time latency/throughput on PYNQ-class boards while preserving accuracy.
Created a system combining NASA FIRMS API data with a mobile app and hardware alarm to notify users (and at-risk relatives) when wildfires approach.
Built a web app deployed serverlessly at near-zero cost that translates prescription requests into local medication equivalents via an AI chatbot and locates open pharmacies using the Leaflet API with address geocoding.
Designed a pressure-sensing valve that instantly shuts off damaged sprinkler systems with home and industrial applications.
Contributed across mobile app, backend, and DevOps to launch a seller-to-buyer marketplace for prescription eyewear. Delivered production-ready features, reliable payments and automated operations that scaled to thousands of users.
Leading cutting-edge research in Computer Vision Deep Processing Unit development. Streamlined low light event camera scene analysis for UAV applications and developed FPGA-accelerated deep processing units for machine vision applications.
Developed scalable data processing solutions and web applications for a leading Brazilian data company. Utilized production data to create real-time analytics and visualization tools with exceptional accuracy.
Developed advanced computer vision systems for autonomous robotics competition. Deployed GPU-accelerated computer vision pipeline with ZED 2i depth perception camera, significantly improving system performance and enabling real-time autonomous navigation.
One of 14 student coordinators of IGNITE,the only EII backed program promoting entrepreneurship at UF with panels, VCs, and workshops. Worked on campus-wide outreach initiatives, building valuable entrepreneurship partnerships with student organizations.
Automated advanced data analysis and stakeholder communication for large-scale construction projects. Developed systems to streamline project workflows and improve decision-making processes for engineering teams.
I am currently the Lead Developer at The Lens Link, a company revolutionizing the eyewear industry. Aside from full-stack development, I leverage my expertise with FPGA boards and hardware acceleration to conduct part-time research within the Department of Computer Engineering at the University of Florida.
This past summer, I worked as a SWE at CANAC, a Brazilian agrotech startup that leverages data, full-stack development, and AI to make Brazil’s sugarcane industry the most advanced in the world. I love to chat about everything from ultra-low-latency engineering and Semiconductor Design to gardening or cooking, so feel free to reach out through the contact form below.
Specialized coursework in FPGA design, embedded systems, computer vision, and machine learning. Active in research and entrepreneurship programs with hands-on experience in hardware acceleration and deep processing unit development.
I'm always interested in new opportunities and exciting projects. Feel free to reach out if you'd like to collaborate or just say hello!