Aniketh
Bandlamudi

Incoming First-Year at The University of Virginia · Computer Science + Applied Mathematics

I'm an incoming Computer Science and Applied Mathematics student at the University of Virginia's School of Engineering and Applied Science.

I founded Vayu Systems to build next-generation agentic operating systems and OCRadar to develop AI-powered tools for early oral cancer detection. My work has reached millions of people worldwide and been covered by WTOP, Korea Times, United Airlines, and Washington Dulles International Airport.

For four years, I led software and engineering at Oakton Robotics, building autonomous control systems, vision pipelines, and sensor integration while mentoring students in CAD, electronics, and software development.

I earned National Merit distinction while completing 18 AP courses, and won recognition at the DC region's largest high school hackathon.

Outside of engineering, I photograph aircraft at Dulles and enjoy hiking.

AI financial modeling platform that turns any CIM, 10-K, or data room into a complete, IB-standard Excel model in minutes — with guaranteed arithmetic accuracy.

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Building an operating system for autonomous AI agents with capability-based security, goal-aware scheduling, and cryptographically verified audit systems for mission-critical AI infrastructure.

AI-powered mobile platform for early oral cancer detection, combining computer vision with cross-platform development to drive global health impact.

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Synthesize distributed intelligence from ambient compute with instantaneous inference across edge devices.

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Published paper presenting a CNN trained for high-accuracy oral cancer detection, with custom hardware for optimal image capture and an open-access application.

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Open-source, browser-based communication tool for people with ALS using real-time eye tracking to select letters and speak them aloud.

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Led systems engineering and control software for competition robots, integrating advanced algorithms, CAD, electronics, and autonomous functions.

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Leading Oakton HS's premier coding club, organizing competitive programming, web dev, and USACO/LeetCode prep while mentoring members.

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Developing compact, efficient PCBs for USB-C storage and embedded applications with a focus on signal integrity and thermal performance.

Reverse-engineered Apple Silicon to model CPU/GPU/Neural Engine integration, cache hierarchies, and power efficiency strategies.

Assignments for the Oakton High School AV CS Data Structures & Algorithms course.

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Served as outreach lead and team captain, contributing to robot design, code, and advancement while mentoring and managing STEM workshops.