Victor Gusev
Autonomous systems — reinforcement-learning planners, LiDAR and vision pipelines, and the embedded instrumentation underneath them.
(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
- 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
Solenoid Bit Reader | Physics 4BL
2026
- Built a macro-scale hard-disk-reader analog — a 387-turn copper coil on a high-permeability iron core, read by an ESP32 — decoding falling binary magnetic bits via Faraday's Law of Induction
- Amplified sensor output 20x with an LM358N op-amp to fit the ESP32 ADC's 0-3.3V window, and calibrated bit-time windows against gravitational acceleration to establish the system's 40 mm resolution limit
- Achieved 100% decoding accuracy across all binary test sequences using a start-bit clock synchronization scheme
Micromouse Simulator | robotics
2023
- Designed a full maze-solving simulator for Micromouse competitions using Java
- Implemented Flood Fill pathfinding algorithm to autonomously solve unknown mazes
- Built a graphical visualization engine using Java Graphics to animate traversal and decisions