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BryanEstrada003/README.md

Hi there, I'm Michael Estrada! 👋

Computer Vision Researcher | Data Engineer | Open Source Advocate

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Email


👨‍💻 About Me

I am a final-year Computer Science student at ESPOL (Ecuador) with a deep passion for the intersection of data and intelligent systems. My journey balances rigorous academic research with practical, real-world deployment.

Currently, I work as a Research Assistant at CIDIS-ESPOL, developing Computer Vision solutions to automate food quality assessment. Previously, I optimized ETL pipelines and automated SAP processes as a Business Intelligence Intern.

I am also the President of the Kokoa Free Software Club, where I advocate for open source, Linux, and knowledge sharing.

  • 🔭 I’m currently working on: Hybrid Deep Learning architectures (CNN + KAN) for agriculture.
  • 🌱 I’m currently learning: High-Performance Computing (HPC) & Rust.
  • 🏆 Achievements:
    • 🥇 1st Place: Pyweekend Hackathon (9th Ed.)
    • 🗣️ Best Storytelling: TAWS Club Datathon
    • 🥉 3rd Place: NASA Space Apps Challenge (Guayaquil)

🛠️ Technical Arsenal

Languages

Python Rust MySQL PostgreSQL Zig

AI & Data Engineering

PyTorch TensorFlow OpenCV Pandas BigQuery

Tools & Platforms

Linux Git Docker Figma Power BI LaTeX Typst


💼 Experience Highlight

Role Organization Focus
Research Assistant 🔬 CIDIS - ESPOL Developing Computer Vision algorithms for defect detection in food; curating datasets and publishing academic research.
President 🐧 Kokoa Free Software Club Leading workshops on Linux/Virtualization and organizing tech events like CLI Week.
Business Intelligence Intern 🦐 Vitapro Automated SAP processes using Python, managed ETL pipelines, and created dashboards using Google BigQuery.
UI Designer Intern 🎨 ZEDE del Litoral Prototyped internal management systems (Low to High fidelity) to improve operational efficiency.

🚀 Featured Projects

An intelligent diagnosis system for cotton leaf diseases.

  • Tech: Python, PyTorch, React, FastAPI.
  • Innovation: Uses a hybrid SBTAYLOR-KAN architecture (94.8% accuracy) and Grad-CAM for interpretability.

🚲 Ride!

Facial recognition system for bike rentals.

  • Recognition: Winner of the ESPOL innovation competition.
  • Focus: Computer Vision applied to campus mobility.

Consultant allocation optimization.

  • Focus: Algorithmic logic to improve project management efficiency.

📊 Stats:


📬 Let's Connect!

I am always open to discussing Computer Vision research, Data Engineering challenges, or Open Source initiatives.

Pinned Loading

  1. Project-2p-Statistics Project-2p-Statistics Public

    Python

  2. cotton-leaf-defect-classification cotton-leaf-defect-classification Public

    AI project

    Jupyter Notebook

  3. Portfolio-Mai Portfolio-Mai Public

    Forked from RiadhAdrani/slick-portfolio-svelte-5

    Portfolio of Michael Estrada

    Svelte

  4. Proyecto-1p-Statistic Proyecto-1p-Statistic Public

    An analysis about a dataset Medical Student Mental Health: https://www.kaggle.com/datasets/thedevastator/medical-student-mental-health

    Jupyter Notebook