I am currently working as an AI researcher at the AI Center of Excellence at Northrop Grumman. My work has been spanning multiple machine learning based projects, including reinforcement learning, genetic algorithms, and computer vision. My primary tasking has been performing computer vision and systems engineering work on a counter UAV system.

I worked as a software engineer on the MRV and MEP projects. This was incredibly exciting as this project will reduce the amount of human produced waste in space as satellites can be repaired and restored at a relatively low cost. As part of my work, I was developing software for various subsystems which required designing interfaces at the software and hardware levels and working with different system leads to ensure optimal performance.

I enhanced an existing machine learning technique called RobEn(Robust Encodings) to protect against synonym based adversarial attacks in the text domain. Using NLP techniques, I was able to improve the robustness of the model while preserving high accuracy. This work was part of the adversarial machine learning EECS 598 class at the University of Michigan.

I taught the senior level EECS 484 Databse Systems course at the University of Michigan. I lead the team of graduate and undergraduate students that teach the course as we develop assignments and exams while helping students at office hours. I also teach multiple discussion sections each week. All of this is virtual due to the COVID-19 pandemic.

VEGA is a conversational AI in development by the CLAWS team to help astronauts. VEGA is designed to provide astronauts assistance both within the spacecraft and durign Extra Vehicular Activities(EVAs). The conversational AI is powered by the Rasa platform. I helped found VEGA and am leading the team working on the project.

I worked with a team of students in EECS 588 (Computer and Network Security) at the University of Michigan worked together to study the use of NLP in classifying security advice. This project worked to determine how difficult, time consuming, and disruptive security advice would be to implement, along with how confident a user would be implementing it, using advice from Reddit and Stack Exchange for evaluation.

I worked with a team of students in EECS 583 (Advanced Compilers) at the University of Michigan worked together to investigate various caching strategies at the compiler level. These value reuse optimizations using caching strategies such as Least Recently Used (LRU) leads to a significant speedup.

DA/RC provides decision making software for a fleet of human operated aircraft and UAVs. I worked on an independent research program investigating the use of reinforcement learning in the decision making process.

As part of the CLAWS team, we presented our work on ATLAS, VEGA, and RIGEL as a collaboration with the Bioastronautics and Life Support Systems (BLiSS) team from the University of Michigan at the NASA Exploration Science Forum hosted by the NASA SSERVI team.

I was part of a group who submitted to the Mars City State Challenge hosted by the Mars Society. Our team created a City State named Adrestia designed to house a million citizens in a self-sustainable colony.

The CLAWS team developed ATLAS, an AR system for the Microsoft Hololens, designed to be a tool for astronauts on lunar expeditions. The modular system provides seamless access to relevant information without unwanted intrusions through the use of protocols. I was the system administrator and setup the teams server systems along with developing the core infrastructure for the HoloLens code. Additionally, I helped train and teach students on the team.

I worked with another student on the RIGEL project which uses computer vision to help astronauts during lunar missions. The moon's unique lighting makes it difficult to identify landmarks and hazards along with perceiving distances. RIGEL assists astronauts by identifying these hazards, along with landmarks and potential samples.

As part of the Aerospace 495 course, Suborbital Payloads, I worked with a team of students designed, built, and tested a payload to study the acoustic dynamics of bubbles in a microgravity environment. The payload was scheduled to be evaluated in a suborbital flight on a Blue Origin rocket; however, the project was put on hold during the testing phase due to the COVID-19 pandemic.

I led the programming team as we developed a cubesat to study piezoelectronic actuation in orbit. We developed the code necessary to communicate with the on board sensors and the payload by updating the legacy code.

As the Head of Proejcts for SEDS, I worked to put together a conference highlighting the work being done in the space field, especially at the University of Michigan. I led the efforts for the conference and served as the chair and main host. Due to the COVID-19 pandemic, we adapted the conference to be entirely virtual with speakers from industry, research labs, and student organizations.

I taught EECS 498 (Conversational AI) as an undergraduate instructional aide. This course was a senior capstone project where students would design a conversational AI in teams. I helped students develop their projects both from a technical and design perspective in Rasa, Clinc, and Dialogflow.

I worked with another student on a project for EECS 598 (Applied Machine Learning for Affective Computing). We analyzed Reddit posts using Natural Language Processing to determine if a machine learning model could predict the moral perception of the post.

I worked with a team of students worked on a project for EECS 442 (Computer Vision) where we used computer vision to predict city statistics based on aerial imagery and land usage maps.

I was part of a team for the EECS 498 (Conversational AI) that developed a conversational AI designed to help people cook by providing them step by step instructions, unit conversions, ingredient substitutions, and more built in the Clinc platform.

I attended the SpaceVision 2019 conference at Arizona State University (ASU) hosted by the Students for the Exploration and Development of Space (SEDS). I had the opportunity to talk to industry professionals about their experiences in the space industry.

As an intern, I worked on the CMCC program with Northrop Grumman out of Aurora for 2 summers. I was able to work on a suite of intercommunicating programs and helped mentor other interns on the project.

I was a part of the team that worked on the E-TBEx twin satellites that are designed to study bubbles within the Earth's atmosphere. I worked on the software for these satellites and they were launched in June of 2019 and have been in operation since.

I was the software lead for the MEISSA project which was the first project the CLAWS team handled. I helped found the team and developed the initial codebase for the project which was designed to help astronauts complete their tasks. We were able to test our software at Johnson Space Center with astronaut training and flight controllers and incorporate their advice into our design.

I attended the SpaceVision 2018 conference at the University of California San Diego (UCSD) hosted by the Students for the Exploration and Development of Space (SEDS). I had the opportunity to talk to industry professionals about their experiences in the space industry.

I was a researcher working on the LITE payload which was designed to test prototype LED panels for future satellites. These LED panels could be used on cubesats to determine the health of the satellite. The payload flew on weather balloons where we optically tracked the weather balloon from an observatory, confirming the utility of the system.

I was part of a team in the course Aerospace 205 (Aerospace Engineering Systems) where we created a hovercraft designed to complete an obstacle course while gathering objects of interest. We worked on the design, build, test process where we iterated on the concept until it was competition ready.

I interned with Northrop Grumman out of Aurora where I worked on a suite of programs designed on keeping information for graduate students at various military training facilities. This suite of intercommunicating pieces of software helped with mission planning and logistics.

I worked with a team of researchers to develop a system to live stream and record the 2017 Great American Eclipse from a weather balloon while gathering science data. We were able to launch from Tennessee from where we livestreamed the eclipse across the world.

I took the Engineering 100 Blimp course, where as a team of freshman, we created a blimp that could navigate an obstacle course while also taking pictures of various targets and transmitting them back. This was my first hands on engineering project in college, and it helped me develop skills I would later use throughout college.

I was part of a team of itnerns who worked on developing an itnernal training portal for Northrop Grumman employees that would help new hired refresh their skills as they onboard with the company. This was my firt time working in a professional environment, and I got to work with other high schoolers, developing communication, technical, project planning, and leadership skills.