Ahmed Bootaan

Open to Summer 2027 software engineering internships

Ahmed Bootaan

I build AI systems and developer tools.

Computer science student at the University of Minnesota, graduating May 2028. Lately that means retrieval agents, a code visualizer for algorithm practice, and simulators for trading systems.

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  • LocationMinneapolis, MN
  • StudyingBS Computer Science, University of Minnesota
  • GraduatingMay 2028
  • Looking forSummer 2027 internship

about

Ahmed Bootaan in a black suit and tie

I like building tools that make hard things visible: what a retrieval agent actually looked at before it answered, what your code is doing line by line, how an order book reacts to a burst of trades.

On campus I am part of the Social Coding Club, the Blockchain Club, and the AI Club. Outside of class I am usually working through NeetCode problems or starting another side project.

work

  1. AlgoPlay

    2026

    A coding-practice app that animates what an algorithm is doing: pointers moving through an array, linked-list arrows turning around, a stack pushing and popping, a breadth-first search spreading through a graph.

    Six problems, from Two Sum to graph BFS, each with an explanation, hints, a JavaScript editor, and test cases that run against your own code. This is the fourth rewrite; the first version instrumented arbitrary JavaScript and Python through Acorn and Pyodide.

    TypeScript / React / ViteLive demo Source

  2. Practical-Agents

    2026

    An agentic RAG system that picks its own document-search tools, cites what it used, and abstains when the retrieved evidence does not support an answer.

    On a small, hand-written set of 23 questions it answered 20 correctly and never cited a source that did not back up its answer. Most of the misses were retrieval, not reasoning: the right passage was never fetched. Tuning chunk size and adding a reranker fixed that on this set, though 23 questions is too few to call it solved. Runs on Azure or fully offline.

    Python / Azure OpenAI / Azure AI Search / FAISS / RAGSource

  3. permit-harness

    2026

    A Python library and CLI for AI-assisted review of municipal permit applications that a city could actually audit.

    Rule-based checks run before any model is called, every finding is tied to the exact passage it came from, high-risk findings are held for a human reviewer, and prompts are redacted before they are logged. It works with any model provider, or none, and has no runtime dependencies.

    PythonSource

  4. mm-lab

    2026

    A market-microstructure lab in C++20: an order-matching engine checked against invariants, benchmarked on fixed, repeatable workloads.

    C++20 / CMakeSource

  5. lob-engine

    2026

    A vectorized limit-order-book simulator with microstructure features, a backtester that checks for look-ahead leaks, and a numba benchmark suite.

    Python / NumPy / NumbaSource

  6. url-shortener

    2026

    A URL shortener with Redis caching, JWT login, per-user rate limiting, and a Docker setup that runs the whole thing with one command.

    Java / Spring Boot / Redis / DockerSource

toolkit

Languages
Python, Java, C++, TypeScript, JavaScript, Go, SQL
AI & retrieval
Azure OpenAI, Azure AI Search, FAISS, RAG, LLM evaluation, Prompt engineering
Web & data
React, Spring Boot, Streamlit, NumPy, Pandas, SciPy, Plotly
Tools & platforms
Git, Docker, Linux, PostgreSQL, Redis, Pytest, JUnit, Gradle

now

  • Applying for Summer 2027 software engineering internships.
  • Working through NeetCode problems; my submissions are public on GitHub.
  • Active in the Social Coding Club, the Blockchain Club, and the AI Club at the University of Minnesota.

contact

Email is the best way to reach me. I am looking for a Summer 2027 software engineering internship, and I am always happy to talk about any of the projects above.

ahmedbootaan33@gmail.com