Aravind Narayanan

Hello! I’m a first year Master’s student at the University of Toronto, majoring in Electrical and Computer Engineering with a specialization in Robotics and Analytics. I am passionate about developing AI-driven solutions for real-world problems and have a keen interest in computer vision, deep learning, and robotics.

I’m currently working on developing monocular depth estimation pipelines for human-robot walking environments at the Neural Robotics Lab and advancing AI techniques for data management at the Laboratory for Applied Informatics Research (LAIRHub). As a Python Developer at the Bernhardt-Walther Lab, I created tools to study mid-level vision systems and optimized image processing pipelines.

I am proficient in a wide range of programming languages including C, C++, Python, MATLAB, R, JavaScript, and Bash. My expertise extends to frameworks such as PyTorch, TensorFlow, OpenCV, ROS, and PyBullet, which I utilize for developing complex AI and robotics applications. Additionally, I have experience with various tools and databases, including SQL, MongoDB, PostgreSQL, Docker, Kubernetes, AWS, GCP, Git, and VS Code. This diverse skill set enables me to tackle a variety of technical challenges and contribute effectively to interdisciplinary projects.

Previously, I completed my Bachelor’s degree in Electronics and Communication Engineering from IIIT Hyderabad, where I was lucky to be working with Dr. Nagamanikandan Govindan on mobile manipulation at the Robotics Research Center. I also worked with Dr. Ponnurangam Kumaraguru on elections analysis and fraud detection at the Precog Research Group.

Academically, I’ve been recognized on the Dean’s and Merit List for five semesters and have held leadership roles as Marketing Head in the Entrepreneurship Cell and Robotics Club Head. I am passionate about using technology to solve real-world problems and continuously exploring new engineering and science frontiers.