Victor Gusev
Reinforcement learning applied to physical systems, from PPO training pipelines in simulation through validated hardware deployment.
(925) 588-1919gusev0219@gmail.comlinkedin.com/in/victorgusevgithub.com/Victor2275
Education
University of California, Los Angeles
Expected June 2028
B.S. Computer Science and Engineering
GPA 3.64 / 4.00
Coursework: Algorithms and Complexity, Software Construction, Object-Oriented Design, Linear Algebra
Technical Skills
- Programming Languages:
- Python, C++, C, Java, JavaScript, TypeScript, Assembly
- Robotics & Embedded:
- ROS, NVIDIA Isaac Lab, ESP32, PID Control, LiDAR, Sensor Integration, Computer Vision
- Machine Learning:
- PyTorch, Reinforcement Learning, PPO, Domain Randomization, Sim-to-Real
- Web & Backend:
- React, Node.js, Express, Socket.io, MongoDB, Next.js
- Tools & Hardware:
- Git, Docker, Linux, SolidWorks, 3D Printing
Experience
Software Engineering Intern | Dimaag.ai
June 2026 – August 2026
- Architected a hybrid Reinforcement Learning and classical local planner for autonomous vehicles to improve accuracy and speed of travel along complex curved paths
- Implemented PPO algorithm training pipelines, 2D LiDAR sensor raycasting, and domain randomization within NVIDIA Isaac Lab
- Bridged the sim-to-real gap by validating policies across various simulators, implementing domain randomization to ensure seamless hardware deployment
- Validated and deployed autonomous navigation policies on physical hardware, achieving reliable tracking at >12 mph with sub-decimeter trajectory accuracy
Robotics Programming Lead | FIRST Robotics
August 2021 – May 2025
- Led software development for a 15-20 member robotics team, building semi-autonomous competition robots
- Implemented PID control systems, vision tracking (Limelight), and LiDAR-based localization
- Collaborated with mechanical and electrical leads to safely deploy and test software on the physical robot hardware
- Engineered autonomous routines and vision pipelines that propelled the team to the FIRST World Championships, ranking in the top 5% of regional competitors
Projects
Proof | software
2026
- Architected a full-stack progressive web application (PWA) with MongoDB and React to version-control recipe iterations and manage real-time inventory states
- Integrated the Gemini API and web scraping (Cheerio) to autonomously extract, intelligently restructure, and import recipes directly from raw URLs
- Engineered a real-time, cross-device timer synchronization system using Socket.io to track concurrent baking stages across multiple platforms
TaskAble | UCLA HOTH
2026
- Built an educational web app linking student interfaces to a teacher dashboard through Firebase Firestore, developed with a small team during UCLA HOTH
- Integrated the Gemini API to generate task breakdowns that decompose assignments into manageable steps for students
- Implemented a reward system and emotion logging to track student engagement alongside task completion