Hello, I'm
Abdullah Ulhaque
Incoming SWE Intern @ Microsoft | CS @ UIC
Hello, I'm
Incoming SWE Intern @ Microsoft | CS @ UIC
Get To Know More
2+ Years of Internship Experience
B.Sc. Computer Science
University of Illinois at Chicago
Expected Dec 2026
I'm a Computer Science student at the University of Illinois at Chicago, graduating December 2026. This summer, I'll be joining Microsoft's Commerce Platforms team in Redmond, WA as a Software Engineering Intern. Previously, I interned at Amazon Web Services on the Marketplace Trust Team, where I designed an SBOM pipeline to strengthen software supply chain transparency across the AWS Marketplace AMI catalog. I enjoy building reliable, scalable systems across distributed backend infrastructure and product-focused frontend experiences.
Explore My
Microsoft | Redmond, WA
May 2026 – Aug 2026
- Incoming SWE Intern on the Commerce Platforms team.
Amazon Web Services (AWS) | Seattle, WA
May 2024 – Aug 2024
- Designed and built an SBOM (Software Bill of Materials) pipeline to deliver comprehensive software component visibility across the entire AWS Marketplace AMI catalog.
- Strengthened supply chain transparency and security posture for AWS Marketplace at scale on the Marketplace Trust Team.
Headstarter AI | Chicago, IL
Aug 2024 – Sep 2024
- Engineered an inventory management system using NextJS, OpenAI, and StripeAPI, boosting efficiency by 40%.
- Led 3+ interns in Agile sprints while collaborating with engineers from Amazon, Bloomberg, and Capital One on CI/CD and Agile workflows.
Radical AI | Chicago, IL
May 2024 – Aug 2024
- Built AI pipelines using Firebase and Google Cloud Platform (GCP), reducing data retrieval time by 10% and improving system scalability by 15%.
- Enhanced chatbot functionality, cutting response times by 25% and improving user experience.
Browse My Recent
Python, PyTorch, Monte Carlo Tree Search
- Researched and implemented chess AI using minimax with alpha-beta pruning, Monte Carlo Tree Search (MCTS), and analyzed AlphaZero's self-play training methodology.
- Compared classical and deep learning approaches to game tree search, evaluating tradeoffs in compute, accuracy, and generalization.
- Collaborated with teammates on experimental design, literature review, and performance benchmarking.
Python, Alpaca API, FastAPI, React
- Built a rule-based intraday trading system using Alpaca's paper trading API with real-time market data ingestion and automated order execution.
- Designed a FastAPI + React dashboard for monitoring positions, P&L, and trade history in real time.
- Architected a Phase 2 extension to use an AI engine for signal generation, targeting Chicago-area trading firm portfolio projects.
Python, TensorFlow, Keras, Flask, scikit-learn, Pandas, NumPy, Matplotlib
- Developed and optimized LSTM networks to capture temporal patterns in stock prices.
- Pre-processed and analyzed 10+ years of historical stock data for accurate predictions.
- Created data visualizations using Matplotlib for in-depth analysis and presentation of stock trends.
JavaScript, React, HTML/CSS
- Engineered a comprehensive pathfinding visualizer simulating Dijkstra's, BFS, and DFS with real-time interactive visual feedback.
- Developed a responsive, grid-based UI with customizable features such as grid resizing and algorithm-specific hover explanations.
- Integrated educational modules with detailed time and space complexity analyses.
Flutter, Firebase, SQLite
- Developed a cross-platform app fostering campus engagement with real-time chat, event management, and secure user authentication, serving 300+ users.
- Implemented robust authentication with Flutter and Firebase, reducing login errors by 25%.
- Designed SQLite-based offline storage and integrated REST APIs for real-time news and event updates, improving engagement by 35%.
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