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Sujay Surendranath Pookkattuparambil
Mid-level Machine Learning Engineer specializing in computer vision and reinforcement learning
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About
Early-stage engineer with hands-on embedded prototyping experience (Arduino/Raspberry Pi) who helped build an award-winning smart glasses project enabling phone notifications via Bluetooth. Strong computer vision performance optimization background, including accelerating 120 FPS inference by moving from TensorFlow to PyTorch and deploying through ONNX + TensorRT quantization, plus Docker-based GPU deployment and CI/ML practices.
Experience
Education
Key Strengths
- Led research to enable Android-to-Arduino Bluetooth notification transmission (used BlueTerm)
- Built award-winning smart glasses prototype (first prize across college)
- Optimized real-time CV pipeline by migrating TensorFlow to PyTorch and deploying via ONNX + TensorRT quantization
- Containerized computer vision solutions with Docker for portable NVIDIA GPU deployment
- Applied CI/CD and CI/ML practices during model training
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