boot --profile robotics_research_engineer
MS Robotics student at the University of Michigan working on robot exploration, navigation and multi-robot autonomy.
init_about()
Hi! I am a passionate roboticist currently pursuing an MS in Robotics at the University of Michigan, Ann Arbor. My work focuses on robot exploration and navigation.
stream_experience()
I will be joining the Jet Propulsion Laboratory as a research intern in May 2026, where I will work on multi-robot autonomy and exploration problems.
I am a graduate student instructor for ROB 311, How to Build Robots and Make Them Move, a hands-on robotics course where juniors learn the fundamentals of robot design, construction, and control. As the GSI, I instruct lab sessions and develop curriculum content.
At the SSI and CURLY labs at U-M, I have been working with Prof. Yulun Tian and Prof. Maani Ghaffari on single- and multi-robot search and exploration problems. During the first semester of my degree, I worked on U-M's submission to the DARPA TIAMAT challenge, focused on single-robot navigation and exploration. Since January 2026, I have been leading a project investigating multi-robot approaches to this same problem.
Working on cutting-edge robotics and AI research problems for the Australian Government. I joined as an intern, was retained as a placement student, and later continued on a scholarship as a part-time employee until the start of 2024, when I joined full time.
I was part of the team of six that won the Chief Defence Scientist's Science and Engineering Excellence Award in 2024, selected from an organization of more than 2,000 researchers.
Worked under Professor Timothy Dwyer and Dr. Maxime Cordeil on tangible controllers for AR/VR. My work resulted in the creation of the Made-Axis, which was published at ACM ISS 2022 and received a best paper runner-up award. The paper can be found here.
I made rockets.
load_education()
2025 - 2027
2024
Graduated with Distinction.
2018 - 2023
render_projects()
A project I undertook through my self-driving vehicles course at the University of Michigan. The project involved developing a method for users to specify text-based requests to rideshare services for final-mile delivery, such as "drop me off by the coffee shop." We developed a system using vision-language models to accept text prompts and output driver commands in the CARLA simulation environment.
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A project I worked on while part of the Immersive Analytics Laboratory at Monash University. The Made-Axis is a tangible, actuated controller for data visualization and analysis on conventional 2D screens and in AR/VR. I worked on the device firmware and demo applications that showcased its capabilities.
See moreMy honours thesis focused on using augmented reality to make a drone AI co-pilot's actions more explainable. I developed a HoloLens AR app to interface with the AI agent and created a visualization to communicate the agent's intent, certainty, and control inputs. I also ran a user study to evaluate performance, which suggested AR was efficacious in this context.
View Thesis
A project from my time in Monash High Powered Rocketry, creating actuatable airbrakes for a rocket to enable better altitude control, a key competition metric. In a team, I led avionics and airbrake actuation development, as well as rocket dynamics analysis using CFD. We tested the engineered solution by launching a rocket with the payload.
View Project ReportThis project is a locally hosted chatbot using a Meta Llama 3.x model. It was designed as a utility and educational experience to learn more about interfacing with LLMs, tokenization, context, parameters, and Apple's MLX framework. The UI features a minimalist Matrix-inspired text entry and response interface. It was programmed in Python with a Flask app serving the browser UI.
View RepoThis project aimed to develop EMG control for video games for amputees. The interface permitted control of games like Flappy Bird and Pong. It involved both electrical circuit design and software development, including circuit prototyping, hardware filter design to isolate muscle contraction signals, and MATLAB programming to further filter the signal and convert it into game inputs.
View Report and Codeindex_skills()
send_signal()