Resume

Education

Cornell University - Ithaca, NY

2021 – 2025

Bachelor of Science in Computer Science, specialized in software engineering and artificial intelligence.

Massachusetts Institute of Technology - Cambridge, MA

2018

MIT LaunchX, Entrepreneurship/Entrepreneurial Studies

Skills
& Expertise

Proficient in Python, C/C++, Java, JavaScript, HTML/CSS, SQL, Flask, React.js, PyTorch, TensorFlow, Hugging Face, LLMs, Pandas, NumPy, Node.js, Git, Jira, VS Code, PyCharm, IntelliJ, SolidWorks, Autodesk Inventor, Fusion, Eagle, Altium Designer, CubeSat, Propulsion, Robotics, Fusion, CAD, PCB Design, DevOps/CICD, Bitbucket, Agile, JIRA, JSON, React, MVC, GitLab, GitHub

Skilled in Machine Learning, Artificial Intelligence, MATLAB, Robot Learning + Perception, Computer Sys Org & Prog, Discrete Structures, Linear Algebra, Differential Equations, Multi Calc, Object Oriented Programming & Data Structures, algorithm design, and aerospace systems analysis.

Work
Experience

Alpha CubeSat - Space System Design

2018 - Present

Attitude Controls Software Engineer

Completed development of a C++ Extended Kalman Filter on ACS that propagates the CubeSat’s body-frame magnetic-field precession and angular-rate dynamics via RK4 integration, fusing gyro + magnetometer data on a teensy 3.5 flight computer to deliver drift-free, real-time 6-state attitude updates during hardware-in-the-loop tests
Built a voltage & PWM calibration pipeline, fitting 3rd-order polynomials to sensor-fixed disturbances and reducing residual magnetometer bias to <5 µT on all axes
Conducted near frictionless air-bearing-rig tests demonstrating full detumble and spin-axis alignment under 5 minutes, and traced a “phantom-alignment” anomaly to magnetic coupling, prompting redesign

Guardian Life

May 2024 - Aug 2024

Machine Learning Intern

Implemented a RAG model w/ Hugging Face Transformers and FAISS to enhance retrieval and generate contextual responses, optimized performance using PyTorch, and integrated w/ vector databases for efficient queries.
Developed an NLP script for classifying escalation reasons in customer conversations with the company’s chatbot, Hugo, leveraging DSPy and various LLMs (Amazon Bedrock, Titan, Claude, Llama) for optimized prompt generation and analysis, achieving 93% accuracy.

Cornell Mars Rover

Sept. 2022 - Present

Robotics Engineer

Designed teleoperation interface, facilitating communication and synchronized control linkage between Mars Rover Arm and designated controller with sub-second latency, using Python, C++, & ROS
Collaborated with cross-functional teams to develop sophisticated driver interface, advanced camera and laser aligning system, to enable precision and placement within 5mm when interacting with rover’s environment
Built robotic end-effector in Inventor to operate scientific instruments & physically interface with rover environment

Plastic Fischer

May 2021 - Aug 2021

Engineer Intern

Developed and deployed waste collection solutions for polluted rivers in Indonesia, including a high-pressure release mechanism and a low-cost system for capturing waste at lower water levels.
Created MATLAB scripts to model stress distribution and dynamics of the buoy system, supporting 15% more

MIT Sea Grant

June 2019 - Aug. 2021

Embedded Software Engineer Intern

Built a cost-efficient Lagrangian ocean drifter for oceanographic exploration from ground up, designing custom PCB using Autodesk Eagle, reducing cost by 40% compared to off-the-shelf parts & 3D-printed chassis using Inventor
Programmed device in C++ to log water parameters and transmit data in real-time via RockBLOCK Iridium satellite module w/ global data access, implementing a low power state to optimize battery life.
Worked on front-end web interface, visually presenting precise geospatial data and sensor readings from drifter.

Kinetix

Dec 2023 - May 2024