Vaman Rajagopal
Computer Science Major
I'm a Computer Science student at the University of Michigan, exploring the intersection of AI, autonomy, and full-stack development. My experience ranges from implementing ROS2-based visual odometry pipelines and LiDAR-based localization for autonomous vehicles to building scalable web platforms and intelligent APIs that support real users.
I enjoy designing software that bridges intelligence and interaction, from LLM-driven flight interfaces and course assistant platforms to real-time community tools serving thousands. I'm driven by curiosity, a passion for impactful engineering, and a desire to build systems that feel both powerful and intuitive.
Academics
Foundations in computer science, math, and engineering with hands-on projects.
University of Michigan
Relevant Coursework
Lenape High School
Relevant Coursework
Professional Experience
Hands-on work across autonomy, AI, and software engineering.
Instructional Aide
University of Michigan Robotics Department
Software Engineer
VTI Aerospace
Software Developer
Michigan Institute for Computational Discovery and Engineering
App Developer
Google Developers Group
Autonomous Systems Engineer
MRacing
Teacher
Asphero
Software Engineer
Red Watch Robotics
Featured Projects
Selected work spanning AI, web, and tooling.
EduFlow AI
A powerful framework for educators to build agentic AI conversations using node-based flows that can collect data, compare responses, loop through content, and guide students through personalized learning experiences. React and TypeScript course assistant platform with Python backend enabling instructors to create interactive chatbots for self-paced learning. Integrated MariaDB with vector search and OpenAI models for semantic retrieval and adaptive reasoning. Supports third-party API plugins to pull live course data into EECS chatbots.
Resonant
AI-powered crowd sentiment analysis and virtual HUD for DJs using Snap Lens Studio. Provides real-time audience engagement metrics through computer vision and integrates with RekordBox for synchronized performance insights. Built at HackMIT 2024.
Voxyl Statistics
Built and scaled Python Discord bots with stat tracking, moderation, tournaments, trivia, and automation tools, improving engagement and safety across 60k+ users. Developed a RESTful API using FastAPI and Golang with MongoDB and SQL backends, powering 100+ real-time leaderboards and in-game commands for 20k+ concurrent users.
Cube360 App
Flutter and Firebase-based app for nonprofits, featuring nearby event discovery and RSVP tracking to promote healthcare access and volunteer engagement.
Arcademia
Upload notes and generate AI-powered flashcards. Create multiplayer rooms and compete in arcade games linked to study questions. Implemented scoring logic and state-machine game-loop mechanics for an educational mini-game system, processing user events in real time to drive adaptive difficulty.
Firewatch
Built an emergency navigation system using a vision-language model (VLM) in Python with Computer Vision pipelines on Raspberry Pi to detect environmental features and hazards from live camera input and infer safe exit paths. Implemented dynamic path re-planning logic that updates routing on the fly when new hazards are detected.
Skills & Technologies
A toolbox spanning languages, frameworks, and platforms.
Languages
Frameworks & Libraries
Tools & Technologies
Get In Touch
Open to collaborations, research, and interesting problems.