Ramsundar Konety Govindarajan
About
I’m Ram — a software engineer who got pulled into tech the same way a lot of us got pulled into games: curiosity first, obsession second. It started back in the GTA: Vice City days, when I wasn’t just playing, I was wondering how the world on the screen even worked. That curiosity quietly turned into building things: HTML, CSS, JavaScript… then bigger projects, real systems, real users, real bugs.
I like building systems that scale. I also like debugging. Not the pain. The payoff. I find the root cause and fix it cleanly. Lately I’ve been diving into distributed systems. I recently read The Google File System. It reminded me that failures are normal.
When I’m not coding, I’m either gaming or learning something technical. Bikes, cars, and audio gear keep my attention. That includes headphones, amps, and DACs. I prefer specs over hype. Power, impedance, and clean output matter.
Want to build something real? I’m open to early-career SDE roles. Feel free to reach me at ramsundar.konety@gmail.com.
Projects
Spot2Tube
Spot2Tube is a full-stack playlist migration app built with React, Flask, and PostgreSQL that transfers Spotify playlists to YouTube using OAuth 2.0 and an async worker pipeline for long-running jobs. It uses a multi-signal fuzzy matching engine (RapidFuzz + duration scoring + keyword penalties) to rank YouTube candidates per track and minimize manual cleanup.
DuoStream
DuoStream is a dual-presenter live streaming app built with React, Node.js, Express, WebSockets, Mediasoup, and WebRTC, using role-based permissions (presenter, participant) to scale past 70 participants with low latency. It implements a Node.js/Express backend with Socket.IO for real-time signaling, Mediasoup server/session management, and RESTful APIs for room creation.
Minicov
Built using C and Python 3, leveraging GCC compiler with coverage instrumentation (gcov) for code analysis. Containerized with Docker for reproducible execution across environments.
Pacman AI
Pacman AI explores classic search in a maze world, finding paths to targets and efficiently collecting food. Implemented BFS, DFS, A*, and Uniform Cost Search to navigate complex layouts and solve Pacman scenarios.
Escooter and Student Detection
Built a campus class safety project to detect scooters in classrooms and count students to flag potential proxy attendance. Collected and labeled data in Roboflow with polygon annotations, then trained a YOLOv8 model for detection.
Experience
One Community Global
May 2025 – Present
Software Engineer
- Developed comprehensive unit tests with Jest and React Testing Library to verify component rendering, props handling, and edge-case behavior in the HGN frontend to boost test coverage and ensure frontend stability.
- Contributed to end-to-end development by coordinating with cross-functional teams, implementing robust solutions with React, Node.js, and MongoDB to enhance the experience for 1,000+ users.
University of California, Riverside
Apr 2024 - Mar 2025 · 1 yr
Exam Proctor
- Monitored and supported large-scale online exams, resolving real-time technical issues for 100+ students weekly to maintain uninterrupted assessment delivery.
- Assisted students with login issues and other technical difficulties, ensuring minimal downtime during exams.
- Automated exam workflows via Python/Bash scripting, enabling centralized control of 50+ machines (updates, lockdowns) and cutting manual setup time by 40%.
- Demonstrated excellent communication skills by addressing student concerns and providing prompt feedback.
Exposys Data Labs
Apr 2022 – June 2022
Android App Developer Intern
- Engineered a real-time chat feature in an Android application using Java, Android Studio, and Firebase, supporting one-on-one messaging, group chats, and media sharing for over 300 active users, ensuring a smooth and reliable user experience.
- Designed responsive UI layouts using XML and implemented RecyclerView with the ViewHolder pattern to ensure efficient rendering, reduce memory usage by 30%, and deliver a consistent, user-friendly experience across diverse Android devices.
- Optimized Firebase Realtime Database queries, improving retrieval and synchronization speed by 25%, while ensuring secure authentication with Firebase Auth.
Education
University of California, Riverside
Sep 2023 - Mar 2025
Master of Science - MS, Computer Engineering
- Overall GPA: 3.85/4
- One of my aims during my UG was to do a masters in the USA. I especially enjoyed courses like Advanced Operating Systems, Advanced Software Testing & Analysis, and Database Management Systems, which deepened my skills in scalable system design, software reliability, and efficient data handling.
Anna University (Easwari Engineering College)
Aug 2019 - Jun 2023
Bachelor's degree, Computer Science
- Overall GPA: 8.92/10
- Relevant Coursework: Data Structures and Algorithms, Database Management Systems, Software Engineering, Problem-solving through Python programming, Application development laboratory, Design and analysis of Algorithms, Operating Systems, Computer Architecture.
Skills
Languages
Frontend
Backend
Tools/Cloud