Machine Learning • NLP • Computer Vision • Deep Learning • Large Language Models

I build real-world AI systems with a focus on clarity, reliability, and strong engineering discipline. My background centers on applied artificial intelligence, modern software development, and hands on project execution across language models, computer vision, and data processing pipelines.

My work emphasizes clean architecture, explainable workflows, and production minded design.

Core AI & ML

• Machine Learning
• Deep Learning
• Natural Language Processing
• Large Language Models (LLMs)
• Computer Vision
• Data Engineering & Pipelines

Languages

• Python
• C++
• JavaScript

Frameworks & Libraries

• PyTorch
• scikit-learn
• OpenCV
• Tesseract OCR
• NumPy
• Pandas

Software Engineering

• React.js
• Next.js
• Git / Version Control

These repositories are actively being prepared and pushed to GitHub. Once uploaded, they will be pinned for quick access.

• Chess AI Tutor — interactive position analysis system
• Student Scheduler — OCR-based scheduling assistant using Tesseract + LLMs
• Measures of Dispersion Project — analytical toolkit for variance, IQR, z-scores
• YOLO Raccoon Detector — custom-trained object detection model
• IN PROGRESS UNDER CONSTRUCTION

Each project will include:

• Screenshots
• Documentation
• Requirements
• Professional write-ups covering engineering decisions

Portfolio Website
https://chrisai.dev (under construction as of 11/20/25

Technical Writing
https://medium.com/@ChrisDevAI

LinkedIn
https://www.linkedin.com/in/ChrisDevAI/

GitHub
https://github.com/ChrisDevAI

Email
chrismenadevai@gmail.com

I am completing my Bachelor in Applied Artificial Intelligence while building a portfolio of end-to-end AI/ML engineering projects. I also have completed two associate degrees, in Computer Programming and Analysis & Applied AI. I am open to relocation and actively preparing for full-time AI/ML engineer roles.