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Building
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Building
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Achievement: Pair Extraordinairex4Achievement: Starstruckx2Achievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

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miguelaenlle/README.md

👋 Hey, I'm Miguel

I'm a Computer Science student at the University of Illinois Urbana-Champaign interested in applied AI/ML, distributed systems, and cloud infrastructure.

Currently, I'm:

  • 🤖 Engineering cloud-based, sandboxed coding agents for course development and analytics at PrairieLearn
  • 🔬 Researching agentic approaches to LLM inference and GPU cluster optimization at UIUC SSAIL
  • ⚙️ Creating OptiTrain, an open-source distributed LLM training and inference system

Previously, I built multi-agent systems at Adobe, vision-LLM grading infrastructure at PrairieLearn, and computer vision systems through Google Summer of Code.

I'm always happy to connect! Feel free to reach out about projects, research, or opportunities.

LinkedIn Portfolio Email

🛠️ Skills

Languages

Python Go C++ C TypeScript JavaScript SQL Bash

AI / ML

PyTorch CUDA NCCL vLLM LangGraph Hugging Face OpenCV

Systems / Cloud

AWS GCP Kubernetes Docker Linux Cloudflare Workers Prometheus Grafana

Web / Data

React Node.js PostgreSQL Redis WebSockets REST tRPC

Pinned Loading

  1. PrairieLearn/PrairieLearn PrairieLearn/PrairieLearn Public

    Online problem-driven learning system

    TypeScript 499 391

  2. OptiTrain-Distributed-LLM-Training OptiTrain-Distributed-LLM-Training Public

    Fault-tolerant distributed LLM training and serving on ephemeral GPUs

    Python

  3. GSOC-2025-Generative-AI-for-GI-Motility-Estimation GSOC-2025-Generative-AI-for-GI-Motility-Estimation Public

    GANs/Diffusion models augmenting Deep Neural Networks for GI tract disease diagnosis

    Jupyter Notebook 1 1