resume

Control Engineer

Applied Control Engineering, Inc.

• Develop and integrate control and automation software for industrial systems, emphasizing reliability, safety, and deterministic behavior
• Debug and deploy PLC-based control systems communicating over Ethernet/IP and Modbus TCP in live industrial environments
• Led delivery of a $134K+ industrial controls project after teammate departure, assuming sole responsibility for both PLC (control logic) and HMI (operator interface) development; successfully implemented, tested, and deployed a fully integrated system meeting all customer requirements

Research Assistant

Laboratory for Control and Information Systems

• Designed and implemented control-oriented digital twin models for abdominal aortic aneurysm (AAA) assessment using MATLAB and Python, supporting simulation, estimation, and system validation
• Curated and processed a 600+ patient dataset, filtering to N<80 matched cohorts based on comorbidities, physical factors, and signal quality; validated model performance achieving 50%-68% sensitivity at 75% specificity (comparable to trained experts)
• First author on 1 peer-reviewed publication and co-author on 1 additional manuscript in progress, demonstrating end-to-end ownership of model development, validation, and quantitative analysis

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

B.S. in Mechanical Engineering

University of Maryland - College Park

• GPA 3.70/4.0
• Dean's list all semesters
• Clark Legacy scholarship recipient

Transmission Line Model as a Digital Twin for Abdominal Aortic Aneurysm Patients

npj Digital Medicine

We investigated the potential of the transmission line model as a digital twin of aneurysmal aorta by comparatively analyzing how a uniform lossless tube-load model were fitted to the carotid and femoral artery tonometry waveforms from abdominal aortic aneurysm patients vs. their matched controls.

Tube-Load Model as a Digital Twin for Abdominal Aortic Aneurysm Patients (poster)

IEEE International Engineering in Medicine and Biology Society Conference

To investigate the feasibility of tube-load models as a digital twin to detect and monitor abdominal aortic aneurysms, helping to improve accessibility to screening and surveillance.

Tube-Load Modeling of Aorta with Abdominal Aortic Aneurysm (poster)

IEEE International Conference on Biomedical and Health Informatics

To investigate the feasibility of tube-load models in tracking the progression of abdominal aortic aneurysm in a patient pre- and post-endovascular repair surgery.

Custom UAV Flight Software

• Developing a fully custom UAV using off-the-shelf hardware and a custom flight control stack on RP2040 (Pi Pico 2)
• Implemented a multiplicative extended Kalman filter (MEKF) fusing 9-axis IMU data (accelerometer, gyroscope, magnetometer) for real-time attitude estimation
• Integrated embedded software with onboard sensors using UART and I2C, addressing timing, synchronization, and noise-related issues
• Ongoing work focused on embedded real-time control, sensor fusion, and flight-critical software reliability

Auto Repair Shop Queue Management System

• Built and deployed a production software system for local auto repair shop supporting 480+ jobs and $98,000+ 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 (owner-estimated)
• Executed daily live deployments while the shop remained operational using CI/CD with rollback capability; manually tested core workflows for hours on real and dummy jobs to prevent downtime, resolving a major outage overnight to ensure uninterrupted next-day operations

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.