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Hi, I'm Sricharan Guddanti👋. I graduated from UC Berkeley (Go Bears!! 🐻) in May of 2025 with a B.S. in Electrical Engineering and Computer Science. In my freshman year, I worked at an EdTech startup called AI Camp. This was my first exposure to AI, startups, product management, and software engineering. A large part of my time at Cal was spent on Berkeley's Electric SAE Racing Team . I lead the autonomous driving division on a mission to create North America's first ever Formula Student autonomous race car. Simultaneously, I was building an Agentic AI startup working on computer use and long-term agentic memory. After graduating, I chose to pursue my passion for building at the intersection of hardware and software and joined Aurelius Systems to help protect our country against unmanned drone attacks.

My experience over the years.

September 2025 - Present

Aurelius Systems

Currently, I work at Aurelius Systems as a Robotics Software Engineer, working to shoot down unmanned drone attacks with lasers! I work across the software stack from our perception algorithms all the way to controls and low-level hardware interfacing. To learn more about what we do, check out our website here.

April 2024 - August 2025

Agentic AI Stealth Startup

Part of the founding team of an Agentic AI Stealth Startup, where I mainly worked on the developing the agentic backend logic behind our long-term memory and retrieval system, dubbed Knowledge Web, and our computer-use agents. Learned a ton about agentic AI architectures, developing AI Systems, and building a startup from the ground up.

January 2023 - June 2025

Formula Electric at Berkeley

I was the Autonomous Driving Lead for Formula Electric at Berkeley, where I led the software, hardware, and electrical aspects of building the first, fully autonomous, Formula Student race car in North America.

August 2021 - December 2022

AI Camp

I was a software engineer and the youngest product manager at AI Camp at the time. Built out their course registration and user dashboard software that's processed 10,000+ users and $1.5M+ in revenue since launch in 2022. Still currently in use.

August 2018 - May 2021

FIRST Robotics

I was captain of FTC Team 9614 Hyperion. Lots of CAD, manufacturing, and leadership lessons. Went to CA States a couple of times. 16th at the Maryland Tech Invitational (defacto World Championships during COVID).

August 2016 - May 2021

MESA

MESA is where I first discovered my interest in robotics and engineering. I was the co-president of the club for 2 years and grew it from 25 to 70+ members. Established the club as a powerhouse of MESA competition for years to come.

Highlights: 2nd @ CA State competition for a prototype of an autonomous agricultural drone; 6th place finish @ the CA State competition for designing a compact air quality system to combat CA wildfires. 1st place at the Local competition 3 years in a row.

A few projects I have done.

Note: I updated projects recently, so they don't have in-depth technical posts. I'll update them soon. :)

Humanoid Teleop

Real-time motion imitation on a Unitree H1 humanoid. We used the Meta Quest 2 to replicate modern, state-of-the-art humanoid teleoperation systems at a cheaper cost.

Explainstein

Real-time, video-based AI tutor! Built this with a few friends for a hackathon at Y Combinator. Ended up winning "Best Tech". Fun hack. Here's a Supabase article about the event.

Pedo Detect

This was a hackathon project for the Berkeley AI hackathon. My team built an AI reasoning system to detect child predators online based on social media presense and chat history.

NFL Schedule Optimizer

This video from the nfl inspired me to create this schedule optimizer that uses mixed-integer programming to find a schedule that is valid (based on the previous years) and favorable for teams travel schedules (home and away games).

Drone Kahlo

This is an autonomous drone designed to paint murals with spray paint. My team and I used 2 PID controllers with sigmoid smoothing functions to balance the drone along the roll and pitch axes. Most difficult part of this project was controlling the non-uniform body of mass of the drone.

Snake AI

An AI trained to play snake, using Reinforcement Learning, specifically a Deep Q-Network. Implemented fun little features like obstables and difficulty levels to test the AI.

Self Driving AI

One of my first ML projects. I coded an feed-forward neural network to predict the steering angle of a car in simulation from scratch (no libraries), entirely in Javascript.

Miscelleneous Projects

Bunch of my early endeavors, including a sudoku solver, an operating system, and other school projects. (Will add a more detailed page on this later)