Purdue Robotics Engineering · May 2027
I design, simulate, train, and deploy autonomous systems — from robot learning and navigation to fielded robots operating around real people.
Selected work
Hands-on work across autonomy, robot learning, simulation, machine learning, embedded systems, and deployment.
Built and tested autonomous navigation workflows in Purdue’s CIMS Lab using ROS 2, Nav2, NVIDIA Isaac Sim, SLAM, localization, and physical robot deployment. The work focuses on closing the gap between simulation behavior and real-world navigation performance.
01 / 02
Built and deployed imitation-learning pipelines on physical WidowX bimanual arms. Trained and evaluated ACT, π0.5 LoRA, and Multitask DiT policies, worked with LeRobot datasets, and debugged the full stack from dataset conversion through hardware execution.
01 / 03
Developed a crowd-simulation demo in NVIDIA Isaac Sim inside a photogrammetry-based digital twin of Purdue’s Build @ Scale lab. Animated human agents move naturally through the environment, avoid obstacles and each other, and express distinct behaviors through HuNavSim. The scenario scales to roughly 30 people alongside autonomous mobile robots for evacuation-safety analysis.
01 / 02
Built Syllamake, a student productivity web app that turns uploaded syllabi and class schedules into structured calendars, assignments, exams, deadlines, and to-do views. The product supports AI-powered document parsing, editable calendar organization, recurring class schedules, progress tracking, and calendar export so students can move from a syllabus to an actionable semester plan in seconds.
01 / 01
At the Panera Innovation Lab, I developed simulation models to evaluate autonomous-system behavior before physical deployment and validated hardware-software integration through structured testing across multiple concurrent robotic subsystems. The work combined rapid prototyping, system-level debugging, and hands-on testing in an applied innovation environment.
01 / 03
Deployed and supported Moxi, an autonomous mobile manipulation robot, in a live hospital environment. Monitored autonomous navigation and task execution, supported material-delivery workflows, and troubleshot real-world robot behavior around clinical staff and patients in a safety-critical setting.
01 / 01
Co-authored a published machine-learning study comparing six supervised classifiers for breast cancer diagnosis using the Wisconsin Breast Cancer Diagnostic dataset. We evaluated Logistic Regression, Naive Bayes, Decision Tree, Random Forest, SVM, and KNN on 569 patient records using an 80/20 train-test split. The RBF-kernel SVM achieved the highest accuracy at 98.25%, with strong precision and recall and only two errors in the test-set confusion matrix.
01 / 01
Built and tuned a mobile robot that follows a defined path using reflectance sensing and motor control. The project combined an Arduino Mega, QTR-8RC sensor array, TB6612FNG motor driver, drivetrain integration, and iterative control tuning.
01 / 01
Designed and built a custom LED ring-light PCB in KiCad for close-up phone photography. The square board has a center cutout so a phone lens can shoot directly through the light source while four white LEDs illuminate the subject evenly from each side. I created the schematic and PCB layout, selected the components, soldered and tested the board, and mounted it inside a light-box setup to validate the final illumination.
01 / 02
Autonomous outdoor trash-collection robot I founded.
Indoor autonomous navigation with AprilTag localization.
Motorized 3D-printed helmet with servo actuation and lighting.
Experience
Research, internships, leadership, and deployment experience across real robotics systems.
2026 — Present
Digital twins, autonomous navigation, ROS 2/Nav2, sim-to-real calibration, and safety-focused robotics research.
Summer 2026
Robot learning, LeRobot, bimanual manipulation, policy training, evaluation, and physical deployment.
Summer 2025
Simulation, rapid prototyping, robotic-system testing, and hardware-software integration across applied automation projects.
2025 — Present
Machine-learning model validation and perception/anomaly-detection work for robotics data.
2025 — Present
Founded and lead an autonomous robotics organization spanning software, controls, hardware, perception, and operations.
Clinical role
Supported Moxi deployment, autonomous task execution, and real-world operation in a hospital environment.
About
I'm a hands-on robotics engineer who works across robot learning, autonomy, simulation, embedded systems, and deployment. I like being close to the hardware — building, testing, debugging, and iterating until a system works outside the lab demo. My focus is taking robotics from simulation and software into reliable physical systems.
In the lab
01 / 02
Real work, real hardware. I spend as much time testing and debugging physical systems as I do writing code or working in simulation.