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levisstrauss/README.md

Hi 👋🏼, I'm Zakaria Coulibaly!

Typing SVG

GitHub followers Repositories Website Email

🚀 About Me

AI Engineer

Passionate AI/ML Engineer and Software Developer with a relentless drive to build intelligent systems with real-world impact. Currently pursuing an MS in Computer Science specializing in ML & Data Science at the University of Illinois. I blend strong theoretical foundations with practical implementation experience across the full ML lifecycle.

💡 My Mission:

Transforming complex data into intelligent solutions that solve meaningful problems.

🔭 Currently Working On:

Building production-ready ML pipelines and exploring computer vision applications

🌱 Learning:

Advanced MLOps practices, transformer architectures, and distributed training systems

🧠 Thinking About:

How to make AI systems more robust, interpretable, and accessible

📫 Connect:

zcoulibalyeng@gmail.com | LinkedIn | Personal Website

🛠️ Tech Arsenal

Languages & Frameworks

Python TensorFlow PyTorch Scikit-Learn Java JavaScript C++ SQL

Data Science & ML Tools

Pandas NumPy XGBoost Matplotlib Weights & Biases MLflow

DevOps & Deployment

Docker GitHub Actions AWS FastAPI PostgreSQL MongoDB

Software Engineering & Web Development

Java Python JavaScript TypeScript React Next.js

HTML5 CSS3 Tailwind CSS Node.js Express.js Spring Boot

🎓 Education & Certifications

🎓 MS in Computer Science (Data Science) - University of Illinois (Expected 2026)
🎓 BS in Computer Science - Penn State University (2024)
📜 AWS Machine Learning Fundamentals - Udacity Nanodegree
📜 AI Programming with Python - Udacity Nanodegree
📜 Gen AI Architect Career Program - Go Cloud Careers Platform (In Progress)
📜 DataCamp AI Engineer & Deep Learning with PyTorch Certification
📜 DeepLearning.AI Specialization - Machine Learning, Deep Learning, NLP
📜 C Programming with Linux - Dartmouth College, Institut Mines-Télécom

🔥 Core Areas of Expertise

💻 Machine Learning Engineering - End-to-end ML systems design and implementation
📊 Computer Vision - Object detection, image classification, and transfer learning
🚀 MLOps - Building robust, production-ready ML pipelines
📈 Predictive Analytics - Classification, regression, and feature engineering
🔍 Data Science - Data preprocessing, visualization, and statistical analysis
🔍 Software Engineering - From the user requirements understanding to software design and buiding

🤝 Let's Connect

LinkedIn Twitter Website Email

Profile views

GitHub Snake Animation

Crafting intelligent solutions through code, driven by curiosity and impact.

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  1. Botanical-Recognition-EfficientNet-Classification Botanical-Recognition-EfficientNet-Classification Public

    Advanced deep learning solution for flower classification using transfer learning with EfficientNet-B0. Achieves 90.23% accuracy on 102 flower species from Oxford Dataset. Lightweight (17.9MB) mode…

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  2. Computer-Vision-Dog-Breed-Recognition-System Computer-Vision-Dog-Breed-Recognition-System Public

    Computer vision system that identifies dog breeds with 93.3% accuracy using transfer learning (VGG, ResNet, AlexNet). Features model comparison, performance analytics, and applications for veterina…

    Python 1

  3. Face-Mask-Detection-System-with-ResNet18 Face-Mask-Detection-System-with-ResNet18 Public

    Deep learning system for real-time face mask detection achieving 98.2% accuracy using ResNet18 architecture, PyTorch, and Gradio. Features efficient inference (0.12s), optimized model size (44.7MB)…

    Python

  4. Banking-Customer-Churn-Prediction-System Banking-Customer-Churn-Prediction-System Public

    Enterprise ML system for banking customer churn prediction (91% accuracy). Delivers actionable retention insights with production-ready implementation including comprehensive testing and deployment…

    Jupyter Notebook

  5. Bike-Rental-Forecasting-System-with-AutoGluon Bike-Rental-Forecasting-System-with-AutoGluon Public

    Machine learning project achieving 66% RMSE improvement in bike sharing demand prediction using AutoGluon, temporal feature engineering, and systematic hyperparameter optimization. Demonstrates ite…

    HTML

  6. End-to-End-MLOps-Pipeline-NYC-Rental-Price-Prediction End-to-End-MLOps-Pipeline-NYC-Rental-Price-Prediction Public

    End-to-end MLOps pipeline for NYC short-term rental price prediction using MLflow and W&B. Features data validation, feature engineering, model training, hyperparameter optimization, and automated …

    Jupyter Notebook