Shaochen Ma
Majored in Electrical And Computer Engineering
Georgia Institute of Technology, Class of 2025
From Atlanta, GA
Georgia Institute of Technology, Class of 2025
From Atlanta, GA
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Shaochen Ma Receives Degree From Georgia Tech
Shaochen Ma of Shanghai, China, has earned a Master of Science in Electrical and Computer Engineering from the Georgia Institute of Technology in Atlanta. Ma was among approximately 7,200 undergr...
March, 20 2026 - Verified by Georgia Institute of Technology
Shaochen Ma was recognized for earning a spot on the Dean's List
Fall 2020 - Winter 2024 -
Added by Shaochen
Shaochen Ma was recognized for earning a spot on an honors list
CUM LAUDE
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Software Engineer at Applications Technology Group Inc.
Develop AI agentic apps with RAG plus code maintenance.
February 2026 - Present
Software Engineer Intern at WeKruit
Built a full-stack multimodal interview analysis web platform with React and TypeScript
May 2025 - August 2025
Machine Learning Engineer Intern at EdgeDevice.AI
Developed ML models to analyze and predict system performance data and built automated tests to validate model reliability.
August 2022 - September 2022
Basketball Shooting Posture Recognition with Time-Series Modeling
● Built a Python pipeline using TensorFlow to classify basketball shooting biomechanics from pose-estimated joint data, achieving 98% classification accuracy
● Engineered time-series features, including normalization, bilateral averaging, and temporal deltas, to enhance sequential modeling performance
● Implemented and compared supervised models, including Transformer and RNN, with unsupervised GMM model, applying stratified sampling for balanced data splits, and evaluated models with precision, recall, and F1 metrics
April 2025 -
Classwork
Autonomous Robotics with ROS2 and TurtleBot3
● Programmed and simulated autonomous robotic behaviors in ROS2 Humble using Gazebo, TurtleBot3, and OpenCV
● Developed ROS2 nodes for real-time object tracking and following via PID control with LiDAR-camera fusion
● Implemented waypoint navigation and reactive obstacle avoidance using /odom, /scan, and TF-based localization
● Deployed SLAM and path planning with the Nav2 stack; tuned global/local costmaps and DWB/Pure Pursuit controllers for smooth, collision-free trajectories
April 2025 -
Classwork
Multi-Drone Swarm Control with Emergency Handling
● Simulated UAV swarm coordination using Python, ArduPilot SITL, DroneKit, and MAVLink over UDP
● Developed a custom UDP-based protocol for synchronized multi-drone control and emergency handling
● Implemented multithreaded socket programming for real-time RC overlay, LOITER, and mission resume functionality
● Analyzed network-level vulnerabilities via Wireshark and demonstrated MAVLink spoofing with controlled packet injection
April 2025 -
Classwork
3D Chess Game with Chess Engine Integration
● Built a fully interactive 3D chess game in C++ using OpenGL for real-time rendering, ASSIMP for 3D asset loading, and the Komodo engine for AI-based gameplay
● Designed a modular class architecture to manage chess pieces, board rendering, and move validation, improving code maintainability and scalability
● Implemented dynamic lighting and camera controls; optimized rendering performance using shaders, texture mapping, and GPU acceleration
December 2024 -
Classwork
Electric Vehicle Simulation and Control Projects
● Modeled parallel Hybrid Electric Vehicle (HEV) dynamics, battery cycling behavior, and power electronic systems using MATLAB/Simulink, simulating embedded control scenarios in real-time environments
● Designed and built RC-based battery circuit models; evaluated State of Charge (SOC) tracking and achieved ~96.6% round-trip energy efficiency
● Implemented Permanent Magnet Synchronous Motor (PMSM) drive control using sine-triangle PWM and third-harmonic injection; analyzed dq-axis control and minimized torque ripple
● Simulated EV charger with and without Power Factor Correction (PFC); quantified Total Harmonic Distortion (THD), charging time, and waveform quality
December 2024 -
Classwork
Autonomous Rover with Multi-Sensor Fusion and Object Detection
● Developed an autonomous rover system using Python, ROS, and Jetson Nano Orin, integrating Pixhawk, GPS, depth camera, and RPLiDAR to reconstruct 3D environments; applied semantic segmentation to enhance obstacle detection
● Implemented real-time path planning and waypoint navigation algorithm with 75% accuracy in outdoor environment
● Integrated MAVLink telemetry and managed multi-protocol communication (UART, I2C, TCP/IP, IEEE 802.11) for sensor coordination and system control
March 2024 -
Classwork
