Robotics Engineer
Passionate about bridging cutting-edge AI with physical robotic systems to solve real-world challenges. My work revolves around computer vision, autonomous vehicles, mobile robots, real time systems, and distributed autonomous systems, with a focus on creating technologies that enhance human lives.
I am currently on the lookout for Fall CO-OP roles starting August 2025. Please feel free to reach out if you think I would be a good fit for your team!
Python, C++, Bash, PowerShell, Azure CLI, LabView, Embedded C, SQL, Matlab
Deep Learning, ViT, YOLO, Detic, SigLIP, FANUC, NVIDIA Jetson, GEM E2, GEM E4, F1 Tenth, UR3e, Reinforcement Learning
PyTorch, OpenCV, ROS, ROS2, ROBO Flow, Gazebo, Gazebo Ign, Open AI, GEM Stack, Unity, Anaconda, Docker, Azure, Linux
Conducting a comparative analysis of SOTA pose detection models trained on currently available swine datasets to evaluate their ability to detect keypoints in a generalized swine dataset collected from diverse farm environments.
Developing a light weight instance segmentation model to verify the presence of product parts during the packaging stage, integrating it into the overall defect inspection workflow.
Reduced VRAM usage from 12GB to 7GB by optimizing the multimodal deep learning pipeline for STRETCH Robot AI, enabling compatibility with low-end GPUs.
Improved the reliability and safety of elderly-assistive object pick-and-place tasks, doubling the pickup success rate from 20% to 40%.
My course work includes working with mobile robotics and autonomous vehicles, currently focusing on developing my skill set on optimizing deep learning perception models and real time systems coordination.
Related Course Work: Autonomous Vehicle System Engineering, Deep Learning with Computer Vision, Principles of Safe Autonomy
Implemented CI/CD pipelines for provisioning and managing Docker Containers, Azure Cloud and BareMetal servers, reducing manual setup and maintenance effort by up to 60%.
Evaluated cognitive vision models on IoT edge servers to assess their accuracy in detecting and reporting faulty surveillance cameras at Microsoft data centers.
Developed an IoT device to detect obstacles blocking accessibility of fire extinguishers and alert security in realtime for Nokia’s Manufacturing Factory as part of their safety measures.
My course work included working with embedded systems, real time system processing and image processing
Related Course Work: Real Time Embedded Systems, Image Processing,
My projects revolve around developing systems that combine the precision of robotics with the adapatability of AI, enabling smarter homes, safer autonomous vehicles, and tools that amplify human potential.
nvikramraj1305@gmail.com