Sri Anumakonda

Sri Anumakonda

2017 and 2018 Participated in the Fletcher’s Meadow FIRST LEGO League Regional Qualifying Tournament
2017 Participated in the 2017 FIRST LEGO League Ontario Wet Championships
2019 Won the Ontario Innovation Award, given to a single student at Durham Regional Science Fair for their exemplary work in the scientific investigation
2020 Completed Python Bootcamp: From Zero to Hero in Python
2021 Completed the Intro to Self-Driving Cars Nanodegree
2021 Completed the Self-Driving Car Engineer by Udacity
2021 Worked with U.N. on helping women in South Africa break into the tech market as a member of The Knowledge Society
2022 Alumni of The Knowledge Society, a human accelerator program for teens age 15-17 working on solving some of the world’s biggest problems
2022 Worked with Shell on reducing methane emissions from abandoned gas wells as a member of The Knowledge Society
2022 Spoke at the Austin Computer Vision Meetup on the research that I’m doing in the autonomous vehicle space (computer vision + end2end learning)

I’m a 16 year old really fascinated by the intersection of computer vision and autonomous vehicles. My vision is a world where we can create self-driving cars that not only scale but also reduce the number of deaths that occur every year.

For the past 18 months, I’ve been learning everything there is to know about self-driving cars and what the status quo is. I became an autonomous vehicle researcher as a 14yo, built 25+ projects in the AI space, and created projects such as DataGAN that can scale to the self-driving industry.

But the conclusion that’s been repeatedly popping up is that we’re nowhere near close to full self-driving; the industry is great at fitting models towards data, but when it comes to rationalizing these neural networks and creating generalizable models at scale, current state-of-the-art methods fail at that.

My research is primarily focused on creating these types of methods, such as understanding neural networks and improving current state-of-the-art methods (such as end2end learning) so that we can deploy autonomous vehicles faster. The Masason Foundation has given me an opportunity to further pursue my research in autonomous vehicles, while also providing me with mentors, financial resources, and like-minded people who are also focusing on solving some of the world’s biggest problems.