I’m a third-year undergraduate Computer Science student at Carnegie Mellon University in Qatar.

My passion lies in building systems that bring AI into everyday spaces. I’m exploring how to orchestrate ML workloads across networks of IoT devices, so that smart environments can adapt in real time to user needs.

Under the guidance of Prof. Khaled Harras in the Networking Systems Lab, I’m designing a framework that decide which edge resource should run each inference task, balancing latency, accuracy, and resource usage.

Currently, I’m seeking Summer 2026 internships and research opportunities!

Work Experience

(I) Undergraduate Researcher @ CMU’s Networking Systems Lab

Jan 2025 – Present

• Enhanced resource utilization to 95% by designing 2D Knapsack greedy heuristics for machine learning allocation.
• Benchmarked YOLOv11 latency and resource usage on a 4-GPU gRPC distributed system via Python emulation.
• Evaluated request coverage vs. resource load trade-offs by building custom telemetry for an upcoming publication.

(II) Open-Source Contributor @ Eclipse Foundation

May 2024 - August 2024

• Optimized issue-response by deploying an Azure-hosted FastAPI service that pushed triage alerts in Slack chats.
• Boosted ML accuracy 15% by collaborating with IBM to conduct data mining on 8K GitHub issues with MLflow.
• Improved debugging experience for 200+ contributors via Gemini 1.5 prompt-routing CI hooks in GitHub Actions.

(III) Software Engineer @ Pronto

April 2024 - July 2024

• Reduced Firestore query latency 20% by analyzing query patterns in BigQuery and refactoring server architecture.
• Enhanced price-quqote accuracy 30% by optimizing database management and migrating 10K+ Firestore records.
• Initiated GCC-region expansion with a TypeScript microservice integrating DHL APIs for international shipping.

Personal Projects

(I) EduPro (LMS Platform)

EduPro is a school management and examination platform for school staff and students.

• Maintained 99% server uptime for 1K monthly users by Dockerizing Django platform on AWS EC2 with CI/CD.
• Coordinated with 5 schools to help 150+ teachers conduct remote exams via auto-grading and CSV analytics

Tech stack: Django, Vue.js, PostgreSQL, and Docker.

GitHub Repo Demo Video

(II) iOS App

My friends and I developed an iOS app which provides offline AI-based first-aid guidance.

• Led the launch of a first-aid app powered by 4-bit quantized Llama 3.2 for offline AI inference using MLC LLM.
• Pioneered the design of an emergency RSS feed to alert local residents about disasters and evacuation points.

Tech stack: SwiftUI, FastAPI, MLC LLM, and Docker.

GitHub Repo Demo Video

(III) Uzbekistan Embassy Website

My friend and I developed a landing webpage for the Uzbekistan Embassy in Qatar. We also provided support for domain registration, server hosting, and secure email communication.

• Expanded global reach by creating an admin panel for staff to publish multilingual content with Django Rosetta.
• Managed internal email integration by deploying a self-hosted mailcow server with GlitchTip server monitoring.

Tech stack: Django, PostgreSQL, Docker, and HTML/CSS/JavaScript.

Website Link

(IV) Avis

Avis is a platform to raise awareness about critical ecological problems in the world. Through incorporating a bi-directional mapping by customizing Google Maps and trustworthy local and global charities, we built a unique project to promote funding and support for affected places.

Tech stack: Django and React.js.

GitHub Repo Demo Video

(V) A*lbert

A*lbert is an arcade puzzle game, inspired by Q*bert, that uses isometric graphics to create a pseudo-3D gaming experience.

• Developed for the “Introduction to Programming and Computer Science” course at Carnegie Mellon.
• Spent 50+ hours developing physics, level management, enemies pursuing the player, and sound effects.
• Integrated the game to a university arcade machine.
• Awarded “Best Classic Award” by Professor Eduardo Feo Flushing.

Tech stack: Python and pygame.

GitHub Repo Demo Video

Research Papers

(I) The Benefits and Risks of Artificial Intelligence: Decentralized AI Governance to the Rescue

During my senior year in high school, I wrote a research paper under the guidance of my Information Technology Teacher about the Ethics of Artificial Intelligence (AI), in which I argued for the development of the Democratic Model of AI Governance. In particular, I described the current state of AI, its unprecedented progress, and its potential to revolutionize every aspect of our individual and collective lives, which brings both advantages and disadvantages. To counter the negative consequences like rising unemployment and the AI arms race, I drew from the work of two Harvard researchers to argue for a three-layered model of AI Governance that actively involves the government, public and private institutions, and citizens across the world to contribute to the safe development and deployment of advanced AI models.

PDF

Challenges

I love to take up fun challenges, and I usually stream on my YouTube channel

(I) Leetcode 200 Questions in 9 hours

To celebrate the end of the summer semester at Carnegie Mellon University in Qatar, my friend and I decided to solve 200 Leetcode questions in one day. It tooks us 9 hours to complete this challenge. You can watch the stream here