Victor Gusev

Autonomous systems — reinforcement-learning planners, LiDAR and vision pipelines, and the embedded instrumentation underneath them.

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

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

Software Engineering Intern | Dimaag.ai

June 2026 – September 2026

Developed a hybrid reinforcement-learning and classical local planner for autonomous vehicle trajectory tracking on complex paths
Validated and deployed autonomous navigation policies on physical hardware, achieving reliable tracking at >10 mph with sub-decimeter trajectory accuracy
Implemented PPO algorithm training pipelines and 2D LiDAR sensor raycasting within NVIDIA Isaac Lab
Bridged the sim-to-real gap by validating policies across various simulators, implementing domain randomization to ensure seamless hardware deployment

Robotics Programming Lead | FIRST Robotics

August 2021 – May 2025

Led software development for a 40+ member FIRST Robotics team, building semi-autonomous competition robots
Implemented PID control systems, vision tracking (Limelight), and LiDAR-based localization
Engineered autonomous routines and vision pipelines that propelled the team to the FIRST World Championships, ranking in the top 5% of regional competitors

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

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