Hello, I'm
Rishi Shah
Creating cutting-edge solutions in machine learning, robotics, and computer vision.
PyTorch, Keras, Adversarial Robustness
OpenCV, ITK SNAP, Image Processing, Object Detection
Arduino, Raspberry Pi, IoT
Python, Java, C#, C++
Unity, Git/GitHub, VS Code
Fusion 360, Blender, SketchUp, CURA
Exploring the intersection of AI, healthcare, and robotics to create innovative solutions.
Developing machine learning models to enhance diagnostic accuracy and predictive analytics in healthcare.
Researching adversarial attacks on machine learning models to enhance AI security and robustness.
Combining mechanical engineering, electronics, and computer science to create innovative robotic solutions.
A showcase of my latest work in machine learning, computer vision, and robotics.
Developed a neural network that segments surgical tools from minimally invasive surgical videos, improving surgical precision and safety.
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.
Developed a robotic arm controlled by hand gestures using computer vision and Arduino, demonstrating real-time human-robot interaction.
Implemented a Keypoint R-CNN model with OpenCV for real-time pose estimation in security footage and surveillance applications.
Developed a Gemini-trained voice assistant integrating Spotify, calendar, weather, and personalized news for seamless daily management.
Built a DenseNet121 model trained on 19,000+ DermNet images with integrated RAG chatbot for dermatological triage assessment.
I'm always interested in new opportunities, collaborations, and interesting projects. Feel free to reach out!
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