resume

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Contact Information

Name Max Kim
Email mkhyeon7@gmail.com
Website https://www.linkedin.com/in/khyeon/

Experience

  • 2025 -

    Baltimore, MD

    Control Engineer
    Applied Control Engineering, Inc.
    • Designed and implemented closed-loop feedback control logic governing pumps, valves, and industrial actuators, ensuring stable operation and deterministic control behavior in real-world systems.
    • Tested and validated distributed control logic integrating Ethernet/IP and Modbus TCP communication layers in live industrial environments, emphasizing deterministic execution and fault isolation
    • Led delivery of a $134K industrial controls project; owned PLC control logic and HMI development through deployment.
  • 2022 - 2024

    College Park, MD

    Research Assistant
    Laboratory for Control and Information Systems
    • Designed and implemented control-oriented digital twin models for abdominal aortic aneurysm (AAA) assessment using MATLAB, supporting simulation, estimation, and system validation
    • Curated and processed a 600+ patient dataset in Python, filtering to N<80 matched cohorts; performed rigorous quantitative validation achieving 50–68% sensitivity at 75% specificity (comparable to trained experts), demonstrating structured problem solving and technical rigor.
    • Developed end-to-end control software modules, including algorithm design, simulation, and performance validation.

Education

  • 2023 - 2024

    College Park, MD

    M.S. in Mechanical Engineering
    University of Maryland - College Park
    • GPA 3.77/4.0
    • Advanced Systems Control
    • Applied Machine Learning
    • Decision Making Under Uncertainty
    • Optimal Estimation of Dynamic Systems
  • 2019 - 2023

    College Park, MD

    B.S. in Mechanical Engineering
    University of Maryland - College Park
    • GPA 3.70/4.0
    • Dean's list all semesters
    • Clark Legacy scholarship recipient

Publications

Skills

Programming: C and C++, Python, MATLAB/Simulink, TypeScript
Systems: Linux, Embedded Systems, Hardware Interfaces, Real-Time Control, State Estimation, Sensor Fusion
Tools: Git, CMake, Docker, Bash, Microcontrollers, CI/CD

Projects

  • Embedded UAV Flight Control Stack
    • Architecting a modular UAV flight control stack on the RP2350 (Raspberry Pi Pico 2) in modern C++ with hardware abstraction
    • Developed a multiplicative extended Kalman filter (MEKF) for real-time attitude estimation, fusing 9-axis IMU measurements using a quaternion state representation
    • Built deterministic real-time sensor acquisition and control loops for embedded flight software
    • Developing a physics-based 6DOF simulation incorporating vehicle dynamics, actuator dynamics, and disturbance modeling to enable controller tuning, trajectory tracking validation, and Sim2Real testing prior to hardware deployment
  • Auto Repair Shop Management System
    • Built and deployed a production software system in Typescript for local auto repair shop billing 480+ invoices and $98,000+ total gross revenue in the first 2 months, managing 20+ customers daily
    • Increased daily service throughput from ~10 vehicles/day to 20+ vehicles/day by redesigning job intake, invoicing, and workflow visibility
    • Designed RESTful APIs and structured JSON-based data interfaces to manage job, invoice, and customer records
    • Executed live CI/CD deployments during active operations; tested workflows and resolved a major outage overnight
  • UAV Navigation Using Reinforcement Learning
    • Built a custom drone simulation environment with stochastic linear dynamics in continuous state and action space featuring 10 randomized obstacles.
    • Designed a navigation algorithm that could outperform a heuristic-based control algorithm in unseen environments by 27% in terms of time-steps taken.
  • Robust PID Control of Automatic Blood Pressure Cuff
    • Performed system identification on known pressure cuff and PWM solenoid valve models to approximate a transfer function of the system.
    • Designed a PID controller following ITAE and IMC principles to achieve 0 steady-state error.
    • Validated robustness by simulating system response to changes in physical constraints.
  • Assistive Utensil for Essential Tremor Patients
    • Spearheaded the development of an assistive spoon for patients with essential tremors that could reduce tremors by up to 50%.
    • Engineered an affordable solution priced at $40, ensuring accessibility for a wide range of patients.
    • Created comprehensive test beds and protocols to facilitate weekly testing during prototyping.
    • Served as technical expert, developing all mathematical models for the project, and acted as a key reference resource for team members by providing technical guidance and support.