Now
EVOID
Founder & Tech Lead
Building bespoke AI/CV and robotics products for startups + industry teams.
Now
EVOID
Building bespoke AI/CV and robotics products for startups + industry teams.
4+
Years Experience
10+
Projects Delivered
5+
Awards Won
2024 - Now
Oreyeon LDA
Improving runway safety through advanced computer vision solutions.
2023
Champion
Led an autonomous race-car build from concept to podium in 20 days.
2021 - 2024
Tech Lead & Volunteer
Took part in leading the largest global hackathon in Lebanon.
Continuously growing
Always learning
Want a similar transformation? Let's design your roadmap and launch faster.
Real-time thermal super-resolution system that enhances low-resolution thermal camera feeds to high-quality images at 229+ FPS for robotics and autonomous systems.

Build with purpose. Others will follow. When AI serves only industry titans and billionaires, we miss out on its most profound potential: the ability to uplift society at large.

Google / Coursera
Forward Mena/ OnRamp Lebanon
Stanford University
Preferred channels
Open to new opportunities and collaborations.
Typical response time: 24-48 hours.
Rami Kronbi specializes in AI and Computer Vision engineering. He builds multidisciplinary intelligent systems including real-time computer vision applications, autonomous robotics, edge-optimized ML deployment, and custom machine learning solutions. His expertise spans the full development lifecycle from prototype to production deployment, with a focus on delivering production-ready systems for startups, agencies, and tech companies.
Rami works on production-ready AI systems across multiple domains: computer vision for robotics and enterprise applications, real-time perception systems for autonomous vehicles, thermal imaging pipelines, sign language translation systems, and custom machine learning solutions. His projects include autonomous race cars, thermal super-resolution systems achieving 229+ FPS, AI-powered accessibility tools, and IoT smart systems. Project engagements typically range from 3-10 weeks depending on complexity and scope.
Rami works with startups building intelligent products, agencies delivering AI solutions to their clients, and tech companies modernizing their systems with computer vision and machine learning. His clients operate across multiple industries including robotics, autonomous systems, industrial inspection, accessibility technology, and enterprise AI applications. He serves teams that need reliable, production-ready computer vision and ML solutions delivered efficiently.
Rami works with PyTorch and TensorFlow for deep learning model development, OpenCV for computer vision applications, and TensorRT for edge optimization and production deployment. He has extensive experience with embedded systems platforms including Jetson Nano, ESP32, and Arduino. His technical stack also includes Python and C++ for system development, and he specializes in optimizing models for real-time performance on edge devices and embedded systems.
For project inquiries, email ramykronby@gmail.com with your project brief including scope, timeline, and technical requirements. Typical response time is 24-48 hours. Rami offers several engagement types: AI Solutions (4-8 weeks), Computer Vision Systems (3-6 weeks), ML Advisory (2-4 weeks), and Robotics & Autonomy projects (4-10 weeks). He is open to new opportunities and collaborations with startups, agencies, and tech companies.
Rami brings hands-on experience across the full AI development cycle—from research and prototyping to production deployment and edge optimization. He has built award-winning autonomous systems (WRO 2023 Champion), delivered real-time AI solutions achieving industry-leading performance (thermal SR at 229+ FPS), and led community initiatives including NASA Space Apps Beirut and crisis support NGOs. His multidisciplinary approach combines computer vision, robotics, and systems engineering to deliver reliable, production-ready solutions rather than just research prototypes.
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