Skip to content
View RodolfoBorbon's full-sized avatar

Highlights

  • Pro

Block or report RodolfoBorbon

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RodolfoBorbon/README.md

πŸ‘‹ Hi, I'm Rodolfo Borbon

Welcome to my GitHub profile! I'm a passionate AI-Software Engineer with 1 year of professional experience and 3+ years of hands-on learning. I specialize in AI, machine learning, and full-stack development. I enjoy crafting innovative AI solutions, collaborating with teams, and learning new technologies.


πŸŽ“ Education

  • Advanced Diploma in Software Engineering Technology (AI)
    Centennial College
    Sep 2022 – Apr 2025

  • Bachelor of Engineering in Industrial and Systems Engineering
    Technological Institute of Sonora, Mexico
    Sep 2010 – Jun 2014


πŸ’» Technical Skills

Programming Languages

  • Python
  • Java
  • JavaScript
  • SQL
  • HTML
  • CSS
  • TypeScript
  • Kotlin
  • Swift

🌩️ Cloud Platforms & Databases

  • MongoDB
  • SQL Server
  • Oracle Database
  • Firebase
  • Supabase
  • Heroku
  • Azure
  • AWS

Frameworks & Tools

  • React
  • Next.js
  • Angular
  • Node.js
  • Express
  • TensorFlow
  • PyTorch
  • Keras
  • Docker
  • GitHub
  • Azure

πŸ› οΈ Projects

1. Beer Recipe Generator

πŸ€– Technologies: GCP Workbench, Papermill, Python, Flask, React, Next.js

  • Built a scalable machine learning pipeline to generate beer recipes based on flavor profiles.
  • Designed and trained ML models (Random Forest, XGBoost, Logistic Regression, etc.), achieving 72% prediction accuracy.
  • Created a web application to display results with a responsive React frontend and Flask backend.

2. AI-Driven HR Platform

πŸ–₯️ Technologies: React, TypeScript, Tailwind CSS, Zod, Radix UI

  • Developed responsive user interfaces for HR management, including role-based dashboards and data visualizations.
  • Integrated advanced form handling and real-time feedback to enhance usability.

3. Seismic Detection Algorithm

🌍 Technologies: Python, SVM, Signal Processing

  • Implemented a seismic detection algorithm analyzing Apollo and Mars InSight data.
  • Achieved noise reduction and accurate seismic event detection through signal processing techniques.

4. Foot Conditions Detection with DenseNet121

🩺 Technologies: MONAI, DenseNet121, Flask API

  • Built binary classifiers for detecting foot conditions using advanced deep learning models.
  • Developed a Flask API to showcase ML model capabilities.

πŸ’Ό Work Experience

Student AI Researcher, Kulture Rebellion (Co-op)

WIMTACH - Centennial College | Jan 2025 – May 2025

  • Designed and implemented modular AI/ML workflows using regression/classification models (Random Forest, XGBoost, Gradient Boosting, and SVM), with automated model selection, hyperparameter tuning, and model versioning.
  • Built and deployed a full-stack web application using React/Next.js, and FastAPI to interact with AI models for generating beer recipe.

Backend Developer

Exera Solutions | Jan 2025 – Apr 2025

  • Developed RESTful APIs to support job description creation, editing, approval workflows, and user management, leveraging JWT authentication for secure access control.
  • Integrated Google Gemini AI for automated bias analysis, enabling the detection and mitigation of unconscious bias in job descriptions.

Student AI Researcher, Universal Health Hub (Co-op)

WIMTACH - Centennial College | Sep 2024 – Dec 2024

  • Conducted detailed analysis of the dataset, including data cleaning, preprocessing, and exploratory data analysis (EDA).
  • Developed binary classifiers for several foot conditions (Callus, Corn, Fungal infections, and Long Nails) using the DenseNet121 model.
  • Deployed trained DenseNet121 models via a Flask API with structured input/output, enabling real-time inference; applied basic model versioning and logging for monitoring predictions.

🌟 Courses & Certifications

  • Capstone Industry Group Project – Centennial College (2025)
  • NASA International Space Apps – Centennial College (2024)
  • Occupation-Specific Language Training Technology – Humber College (2022)
  • ISO 19011:2011 – Technological Institute of Sonora (2014)
  • IBM Data Science - Coursera (2025)
  • IBM Full-Stack Web Developer - Coursera (2025)

πŸ“« Contact Me

Pinned Loading

  1. Seismic-Detection-Model-STA-LTA-and-SVM Seismic-Detection-Model-STA-LTA-and-SVM Public

    Jupyter Notebook 1

  2. Dental-Chatbot Dental-Chatbot Public

    Python

  3. AI-Powered-Collision-Fatality-Predictor-App AI-Powered-Collision-Fatality-Predictor-App Public

    HTML

  4. Skin-Disease Skin-Disease Public

    Jupyter Notebook