Resume
I'm a combined B.S./M.S. student passionate about developing intelligent robotic systems that seamlessly integrate with human environments. My work focuses on creating intuitive control mechanisms that make robots more accessible and effective collaborators in various settings.
Education
January 2025 – May 2027
Master of Science in Engineering: Robotics
Johns Hopkins University
- Specializing in Dynamical Systems and Controls
Graduate Coursework
March 2025 – Present
Bachelor of Science: Mechanical Engineering
Johns Hopkins University
- Minors in Robotics and Applied Math
- 3.86 GPA
- Dean's List
- Pi Beta Tau Honor Society
Undergraduate Coursework
Experience
August 2025 – Present
Robotic Software Engineering Intern
Johns Hopkins Agile and Intelligent Robotics Laboratory
- Designing, simulating, and implementing state estimation and control algorithms for multi-rotor drone perching in C++ and Python in ROS as part of a collaboration between Johns Hopkins LCSR and JHU Applied Physics Laboratory.
- Creating physics-based simulations of drone-mounted FMCW radar to test and validate state estimation.
August 2025 – May 2026
Senior Design Team Member
Shukla Medical
- Collaborating with a team of 5 to develop a powered surgical tool to reduce hip surgery time and bone loss.
- Designing a mechanism to cut around a spherical path, optimizing for simplicity and path fidelity.
- Leading circuit design, software development of nonlinear state estimation and control system to implement redundant safety measures, estimating bone/blade interface temperature, vibration statistics, and tool slippage.
March 2025 – Present
Social Robotics Research Intern
Johns Hopkins Intuitive Computing Laboratory
- Developed open source plant-inspired robotic objects for Human-Robot Interaction research.
- Designed compact chasis assemblies without threaded fasteners allowing for easy design iteration and replication.
- Implemented PID control and designed movement fundamentals to convey a range of expressions.
June 2024 – January 2025
Instrumentation Engineering Intern
NIH Instrumnetation Development Laboratory
- Spearheaded ground-up redesign of Raspberry Pi–based recording system, doubling recording capacity — Implemented modular design principles to facilitate easy maintenance and component exchange
- Presented posters, sourced components, created bills of materials, and rigorously documented assembly instructions for future publication, modification, and open sourcing
May 2023 – June 2024
Sensor Development Research Intern
Johns Hopkins Neuroengineering and Biomedical Instrumentation Laboratory
- Designed a novel, granularly-jammed optical sensor for high resolution optical sensing in low-visibility environments
- Refined MATLAB-based photometric stereo imaging algorithm to reconfigure object detection system, improve Raspberry Pi integration, and enable micron-scale resolution