About Me

Schulich Leader Scholar at McMaster University — one of Canada's top 50 entrepreneurial engineers that was awarded $120,000.
Developed a biologically-inspired vision model that outperformed ResNet and AlexNet in adversarial robustness
Founded Hack49 Global, a worldwide hackathon with 950+ participants from 40+ countries, securing $19,000+ in sponsorships
Built 3DForge, a 3D modeling and printing startup that won Ontario's Summer Company Award
Earned Bronze at Canada-Wide Science Fair for a real-time neural network that segments surgical tools in partnership with Synaptive Medical and Robarts Research Institute

Technical Skills

Machine Learning

PyTorch, Keras, MATLAB

Computer Vision

OpenCV, ITK SNAP

Embedded Systems

Arduino, Raspberry Pi, ESP32

Programming

Python, Java, C#, C++

Tools & Platforms

Unity, Git/GitHub, VS Code

3D & Design

Fusion 360, Autodesk Inventor, Blender, SketchUp, OnShape, KiCad, CURA

Featured Projects

A showcase of my latest work in machine learning, computer vision, and robotics.

From Pixels to Precision

Developed a neural network that segments surgical tools from minimally invasive surgical videos, improving surgical precision and safety.

Adversarial Robustness Research

Developed a novel ventral visual neural network, based on CORnet-S architecture with denoising and gated recurrent blocks, achieving robustness of 97.87% under evaluated model threats.

Gesture Controlled Robotic Arm

Developed a robotic arm controlled by hand gestures using computer vision and Arduino, demonstrating real-time human-robot interaction.

Pose Estimation Model

Implemented a Keypoint R-CNN model with OpenCV for real-time pose estimation in security footage and surveillance applications.

Zephyr AI Assistant

Built a keyboard-activated AI assistant that seamlessly integrates into your workflow with a single hotkey press. Leverages Groq's Llama 3.1 8B model to understand natural language commands and instantly control Spotify playback, check weather conditions, aggregate news feeds, manage calendar events, and track project tasks.

DermAI Medical Assistant

Built a DenseNet121 model trained on 19,000+ DermNet images with integrated RAG chatbot for dermatological triage assessment.

Monkey See Monkey Do

A dual-system robot inspired by Daniel Kahneman’s System 1 / System 2 model that learns new skills instantly from natural language, without pre-training or rigid scripts. Built with Cohere LLMs, real-time search, and 2 custom 3-DOF robotic arms, the system transforms messy instructions into smooth, executable motions. Placed Top 32 out of 256 projects at Hack the North, Canada's Largest Hackathon.

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Rishi Shah

Creating cutting-edge solutions in machine learning, robotics, and computer vision.