About Me
My Journey
I'm an AI/ML Engineer with a strong software engineering background, specializing in developing production-ready machine learning systems. My technical foundation in computer vision and NLP is complemented by hands-on experience with PyTorch and TensorFlow frameworks.
My approach combines rigorous software engineering practices with ML expertise to build scalable, deployable AI solutions. I excel at optimizing model performance, implementing end-to-end ML pipelines, and addressing real-world challenges in model deployment and monitoring. I'm focused on creating AI systems that deliver measurable business impact.
Technical Specializations
AI/ML Engineering
Building production-ready machine learning systems with a focus on scalability and business impact
Featured Projects
Explore my work across AI/ML
Advanced Flower Classification System
An advanced flower classification system using EfficientNet-B0 leveraging transfer learning for high accuracy and efficiency. Fine-tuned on a custom dataset, it excels in species identification, showcasing modern CNNs in action.
Multi-Architecture Dog Breed Classification
Engineered a high-performance computer vision system comparing VGG, ResNet, and AlexNet architectures. Achieved 100% dog detection accuracy and 93.3% breed classification precision using an optimized VGG implementation. Features custom data augmentation and model ensemble techniques to enhance generalization.
FoodVision Big: 101-Class Food Classifier
Built an advanced food classification system capable of identifying 101 different food categories using a fine-tuned EfficientNetB2 architecture. Achieved remarkable performance with only 5 training epochs through effective feature extraction and strategic data augmentation, deployed with an interactive Gradio interface.
Real-time Face Mask Detection System
Developed a production-optimized face mask detection system achieving 98.2% accuracy with ultra-fast 0.12s inference time. Implemented custom model head architecture on ResNet18 backbone, with deployment to Hugging Face Spaces for real-world accessibility and monitoring.
Technical Skills
Proficiency across software engineering and machine learning technologies
Machine Learning
Core ML frameworks & techniques
Machine Learning
Core ML frameworks & techniques
Machine Learning
Core ML frameworks & techniques
Machine Learning
Core ML frameworks & techniques
Machine Learning
Core ML frameworks & techniques
Machine Learning
Core ML frameworks & techniques
Education
Academic foundation that equipped me with theoretical knowledge and practical skills
Academic Background
Masters of Science
Specialization in Computer Science
Illinois Urbana-Champaign
Key Achievements
Project Highlight
Key Courses
Professional Certifications
Continuous learning and skill development through industry-recognized certifications
Certificates
11 professional certifications
Get In Touch
I'm always interested in new opportunities, collaborations, or just a friendly chat about technology and innovation. Feel free to reach out through any of the channels below.
zcoulibalyeng@gmail.com
www.linkedin.com/in/codemon
GitHub
github.com/levisstrauss
@codemon2024
Availability
I typically respond within 24-48 hours. For immediate inquiries or time-sensitive matters, please mention it in your message.
Time Zone
UTC-5 (Eastern Time)
Best Contact Hours
10:00 AM - 6:00 PM ET
Response Time
Within 48 hours