Hi! I'm Sanjeew Kanagaraj,
a Software Engineer based in Hong Kong

• Acted as lead the control systems team, worked on architecture and optimisation of embedded motion planning algorithms using ROS2 and C++, improving run time efficiency by 20% and memory utilisation by 30%
• Designed, and implemented advanced driver assistance algorithms with pending patents for GPS lock, Heading lock and joystick control on single and dual engine boats - presented at global boat shows and used by users worldwide
• Prototyped self driving for marine vehicles using a combination of Line of sight, pure pursuit and and achieving path accuracy of over 80%

• Developed multimedia pipelines to enable live video streaming in 4K, recording, two way intercom and deep learning inference using Gstreamer, Python, and Typescript, reducing processing and memory requirements by 80%.
• Trained and optimized computer vision models to perform various tasks including mask, gate and intruder detection, achieving over 90% accuracy on limited hardware using PyTorch, ONNX and OpenVINO.
• Improved obstacle avoidance and self docking success rate by implementing a graceful controller for charger detection and docking at firmware level using C++.

• Developed computer vison models for real world use cases using Tensorflow and Pytorch, optimized and deployed inference on edge devices using Docker, TensorRT and Nvidia Deepstream SDK.
• Implemented real time face mask detection in conjunction with temperature checking with precision of over 95%.
• Setup machine learning pipeline using Kubernetes and Kubeflow to streamline data pre-processing and model creation, improving efficiency by 40%.

• Co-authored paper titled A Neuro-Symbolic Humanlike Arm Controller for Sophia the Robot, researching the use of Convolution Neural Networks coupled with symbolic AI for object grasping. (Link)
• Constructed kinematic URDF representation of robotic arms to be used in simulation of intricate movements.Implemented AI behavior tree algorithms to enable complex behavior patterns on Sophia, integrating with the Hanson Robotics SDK.
• Improved Sophia’s human-robot interaction heuristics and reduced interaction delay by 50%.

• Worked on the coral reef mapping drone that automates the mapping of coral reefs.
• In charge of the training and deployment of onboard neural network to classify coral types. Built using Tensorflow and Keras
• Assisted in modifying electronic components to ensure accurate mapping and stitching of images.

• Worked directly under the CTO as Full Stack developer for the Quokka Rewards platform.
• Responsible for the development of Django Restful API as well as data analytics to show effectiveness of the platform.

The University of Hong Kong

• Working under Dr. Joe C.H. Yuen on building a cloud-based AI Chabot that helps students learn how to code.
• Responsible for the full stack construction and deployment of the chatbot analyzing hundreds of student submissions for common mistakes.