Computer Vision Research Intern at Fleet Robotics

• Designing a novel algorithm using a Structure from Motion (SfM) algorithm to render detailed dense reconstructions of ship hulls, enabling efficient identification of hull damage.

• Integrating Gaussian Splatting techniques to enhance rendering accuracy and improve depth-aware reconstruction for more detailed visual outputs.

Data Science Research Assistant at Harvard University (Prof. Adaner Usmani)

• Working with Professor Adaner Usmani on the History of Punishment Project, processing and digitizing historical judicial records to ensure accurate data entry for analysis.

  • Using Python and R to analyze and visualize criminal justice data, identifying patterns in incarceration trends.

Congressional Intern - James P. McGovern (MA-02)

• Conducting legislative research and supported policy initiatives, with a focus on H.R. 10092 – Eliminating Bias in Algorithmic Systems Act of 2024;

  • Assisting with constituent services, letter writing, and addressing community concerns and inquiries.

See thekitabinitiative.org for more information.

• Attended the Stanford Summer Institutes Course “Surgical Technology & Entrepreneurship” - Team awarded #1 Business Pitch (2023)

• Economics for Leader (EFL) at Yale University - Concentrating in Technology Management and Economic Policy (2025)

• Beaver Works Summer Internship at MIT Lincoln Laboratory (2025)

  • Developed a fully autonomous underwater vehicle utilizing ROS2 and OpenCV; including depth control, heading control, and AprilTag detection for navigation and object identification

Attended the Yale MUN Conference, the Catholic Memorial MUN Conference, and the BCHIGH MUN Conference

• Led 18+ caucuses during all conferences

• Advanced discussions while leading efforts to develop successful resolutions

• Certified in Project Management through Google’s Project Management Professional Certificate.

• Training twice a week; focusing on cardio building while improving boxing technique

• 8 Round Sparring Every Week

• Part of the JOAD (Junior Olympic Archery Development) program at the Riverside Gun Club

• English (Native)

• Urdu (Native)

• Arabic (A2)

• Ancient Greek (B1)