Ryan Chung
Education
The Cooper Union for the Advancement of Science and Art, New York City, NY
Bachelor of Engineering in Electrical Engineering, Expected 2027
Minor in Mathematics and Computer Science
Experience
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October 2023 – PresentPublic Service Worker, Mandatory Military Service, Gyeonggi, South Korea
- Served in regional public-interest projects through community engagement and administrative support.
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June 2023 – August 2023ROS/Software Developer – Drone Control, The Cooper Union, NYC
- Developed autonomous flight control for Crazyflie nano-quadcopters using a ROS-based stack.
- Integrated gyroscope, accelerometer, optical flow, and range sensors for real-time attitude estimation.
- Tuned Kalman filters in embedded C++ firmware to enhance responsiveness.
- Technologies: C++, Python, ROS, Crazyflie SDK, Embedded Firmware, Git, CMake.
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June 2023 – August 2023Scholars Mentor – STEM Outreach, The Cooper Union, NYC
- Mentored NYC public high school students in a six-week STEM internship; led workshops on communication and leadership.
- Coordinated with faculty and K-12 partners, managed logistics, and coached lesson planning.
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Fall 2021 – Spring 2023Autonomous Vehicles (IGVC), The Cooper Union, NYC
- Worked on ROS-based perception, SLAM, and path planning team for the International Ground Vehicle Competition (IGVC).
- Developed LiDAR-based SLAM and obstacle detection algorithms using ROS and OpenCV.
- Implemented path planning modules (A*, RRT) in C++ and Python.
- Skills: ROS, SLAM, perception, path planning, C++, Python, OpenCV, PCL, Git, CMake.
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June 2022 – August 2022Engineering Volunteer, Centro de Paz Bárbara Ford (NGO), Guatemala
- Deployed Arduino (ESP8266 + DS18B20) sensors to map thermal loss; quantified 23% heat-lamp profit loss.
- Designed firewood-powered hydronic heating prototype with recycled-material insulation.
- Redesigned coop interiors to boost thermal efficiency; piloted by local farms.
- Co-authored paper at 2023 IEEE GHTC; View paper.
- Technologies: Arduino, C/C++, Thermal Modeling, Data Analysis, IoT Prototyping.
Projects
- Low-Level Systems Research: Analyzed Intel CPU and iGPU performance with Linux profiling tools. Developed C/C++ benchmarks to explore instruction throughput, caching, thermal limits, and power efficiency. Tools: top/htop, mpstat, perf, RAPL, vmstat, intel_gpu_top.
- AI Inference Benchmark Automation: Created Python scripts to benchmark deep-learning inference on CPU/GPU, comparing latency, memory usage, and power draw across model sizes and batch configurations. Tools: PyTorch, ONNX, psutil, RAPL, time, Matplotlib, GitHub.
Skills
- Languages: Python, C, C++, Shell/Bash (Proficient); Assembly, Verilog, VHDL, JavaScript/TypeScript, HTML/CSS (Familiar).
- Technologies & Frameworks: NumPy, ROS, Linux, Git, Qiskit, Docker, PyTorch (Proficient); TensorFlow, ReactJS, Node.js (Familiar).
- Specialized: SLAM, perception, path planning, OpenCV, PCL.
Awards & Certificates
- The Cooper Union Half Tuition Scholarship, Fall 2021 – Spring 2023
- The Cooper Union Dean’s List, Fall 2021 – Spring 2023
- Google Project Management Professional Certificate
- DeepLearning.AI Deep Learning Specialization
- Imperial College London Mathematics for Machine Learning Specialization
Timeline
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2023 – 2025Military Service for Public Interest (Suwon, South Korea)
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2021 – 2023The Cooper Union (New York, USA)
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2017 – 2021Shanghai American School (Shanghai, China)
Socials & Contact