BS in ECE & BME | Carnegie Mellon University
Engineering bio-inspired tactile sensors, autonomous control systems, and the intelligent hardware bridging biology and engineering.
Based in Pittsburgh, PA · Carnegie Mellon University.
About
I am an Electrical and Computer Engineering + Biomedical Engineering student at Carnegie Mellon University, dedicated to bridging the gap between human biology and autonomous robotics.
Currently engineering bio-inspired tactile sensors at the CMU Biorobotics Lab , I am focused on developing the next generation of haptic feedback systems to enable vision-less object identification and advanced autonomous interaction.
Selected Projects
Prototyped a bio-inspired robotic hand using honeycomb and oval flexure designs for high-fidelity sensing. Engineered a magnet-on-Hall-sensor system through 17+ silicone mold iterations in Fusion 360, enabling precise object recognition without computer vision.
Programmed a Raspberry Pi Pico-based robot utilizing Java to coordinate motor functions and sensor inputs. Developed a custom PID-based control system for autonomous scoring, ranking 2nd out of 32 teams with a score 69% above the field average.
Designed a 6-foot custom two-stage robotic elevator using CAD and bike-chain drive systems. Developed custom Python scripts for AprilTag detection and autonomous navigation, resulting in a 94.3% autonomous scoring success rate.
Skills
Experience
Engineering bio-inspired robotic hands for high-fidelity tactile sensing. Developing a magnet-on-Hall-sensor system to translate physical pressure into digital signals for precise haptic feedback loops. Utilizing Fusion 360 to iterate through 17+ soft-robotic mold designs and 3D printing flexure-based finger structures.
Supporting the launch of a high-tech automated research facility by managing logistics for incoming research assets with 100% logging accuracy. Reorganizing hardware inventory systems to optimize laboratory efficiency, successfully reducing equipment retrieval time by 18%.
Architected the full software stack for real-time communication between motor controllers and sensors. Designed a custom 2-stage robotic elevator in CAD and developed Python scripts for AprilTag detection and autonomous navigation, achieving a 94.3% scoring success rate.
Served as Mission Transit Radiation Specialist for a Mars mission architecture study. Managed a simulated $3B budget to test shielding materials against solar particle events and presented technical mission proposals to a panel of NASA engineers.
Authored technical curricula for Python, Java, and Machine Learning delivered to 310+ students. Managed bi-weekly cohorts through project-based learning on Google Colab, achieving a 98.1% satisfaction rate.
Contact
Open to research collaborations, internship opportunities, and technical discussions about autonomous systems.