Mechanical Engineering student at Carnegie Mellon University exploring engineering, technology, design, and innovation.
I enjoy turning technical concepts into practical solutions through hands-on projects, experimentation, and thoughtful problem-solving.
- Studying Mechanical Engineering at Carnegie Mellon University
- Exploring mechanical design, engineering problem-solving, and emerging technology
- Using GitHub to document projects, share what I’m learning, and build practical skills
- Interested in the intersection of engineering, design, and innovation
This profile is a home for projects, experiments, notes, and ideas developed throughout my academic journey. I’m continuously learning, building, and exploring new ways to apply engineering thinking to real-world challenges.
Mechanical Design · Engineering Analysis · Technology · Design · Innovation
Learning how strong engineering fundamentals, creative design, and modern tools can work together to create useful and thoughtful solutions.
Learning • Building • Exploring • Engineering
My GitHub projects are part of my independent learning journey, developed with tutoring support from AssignmentDude. Their guidance helped me understand engineering concepts, structure MATLAB implementations, interpret results, and improve technical documentation. I remain responsible for reviewing and understanding the work and for continuing to build the skills behind each project.
- MATLAB Robotic Arm Digital Twin — 6-DOF kinematics, trajectory planning, dynamics approximation, PID tracking, workspace analysis, collision checks, and energy-oriented optimization.
- AI Predictive Maintenance & Industrial Machine Digital Twin — vibration features, ML fault classification, anomaly screening, RUL estimation, health scoring, and maintenance decisions.
- MATLAB Autonomous Mobile Robot Navigation & Control — differential-drive kinematics, A* planning, PID/Pure Pursuit/P controller comparison, localization interfaces, and reproducible navigation metrics.
- Autonomous Warehouse Robot Fleet Digital Twin — multi-robot task allocation, A* fleet routing, battery-aware dispatch, reproducible metrics, dashboard support, and continuous integration.
- SafeFleet: Multi-Robot Warehouse Autonomy Platform — safety-oriented fleet management, task allocation, reservation interfaces, battery-aware dispatch, fault boundaries, and a staged ROS 2 roadmap.
- AI Text Detection Benchmark — reproducible TF-IDF and logistic-regression evaluation, leakage-aware splitting, error metrics, privacy safeguards, and a fact-checked student guide to Turnitin.