Aspiring AI Systems Engineer
Hi, I'm Sidharth Sreeram.
I build software that understands the world around me
👋 About Me
I'm a Toronto-based software engineer who aspires to dive into the world of AI and computer-vision research and development.
🎯 Future Goals
To follow my goals, I have designed a 1 year research and development roadmap based on the autonomous driving perception stack.
About Me
Hi, I'm Sidharth — a software developer based out of Toronto, Ontario. I enjoy building software systems to understand and analyze the world around. Previously I've built systems meant to assist other developers and integrators with testing systems and API response schemas. I now seek to learn and research into Artificial Intelligence systems and Computer Vision techniques to better understand the environment around.
Growing up I loved building and creating, ranging from robotic systems to trying out new recipies in the kitchen, the engineering mindset has been with me for as long as I can remember. Over my Undergraduate, I have experienced a wide variety of different engineering fields ranging from Process Optimization to High Level Software Design. Take a better look at my history in my Undergraduate Roadmap
Future Goals
Over the next five years I want to become someone who can design, build, and deploy computer vision and perception systems on real robots. In the pursuit of knowledge, I have a 1 year learning roadmap setup filled with research papers and projects dedicated to teaching me different concepts. Split into three tiers, I plan to build a strong foundation of perception primitives, integrate them into a unified autonomous driving perception stack, then deploy that stack as a real-time C++ / ROS2 node on my own robot hardware and measure how it holds up. This project plan was designed to provide me foundational knowledge and experience in developing perception systems and in getting them running outside a notebook. The full roadmap is outlined in the Future Goals timeline.
Currently Building
All projects →Cloud-Native AV Perception Stack
A highway perception stack split across an onboard real-time tier and an AWS near-real-time tier, built to measure whether delayed cloud perception is still safe to act on.