Hi, I'm Corey Leath
Machine Learning Engineer • AI Engineering Graduate Student • MLOps Enthusiast
I build production-oriented machine learning systems, cloud-native AI infrastructure, and end-to-end data platforms.
About Me
- AI Engineering Graduate Student
- Software Development Bachelor's Graduate
- Building scalable Machine Learning and MLOps solutions
- Interested in Applied AI, LLM Systems, Forecasting, and Quantitative Analytics
- Seeking Machine Learning Engineering and AI Engineering Internship Opportunities
Current Focus
- Large Language Models (LLMs)
- MLOps & Model Deployment
- Cloud AI Infrastructure
- Data Engineering Pipelines
- Applied Machine Learning Research
- AI Product Development
Featured Projects
LLM Quant Assistant
Financial intelligence platform leveraging modern LLM workflows, retrieval-augmented generation (RAG), and quantitative analytics.
AWS SageMaker + Snowflake ML Pipeline
Production-ready machine learning workflow integrating cloud infrastructure, automated training, and deployment.
Facial Emotion Recognition System
Deep learning computer vision application built with PyTorch, FastAPI, and Docker.
Energy Demand Forecasting Platform
Time-series forecasting system featuring automated data pipelines and MLOps practices.
Algorithmic Trading Backtester
Research platform for evaluating systematic trading strategies and portfolio performance.
Technology Stack
Languages
Machine Learning
Cloud & DevOps
Data Engineering
GitHub Analytics
University of Pennsylvania (Planned)
Bachelor of Science — Software Development Specialized in web and mobile applications DeVry University Specialization: Web & Mobile Applications
Associate of Science — Engineering Technology
Machine Learning & Design Techniques
Connect With Me
- GitHub: https://github.com/Trojan3877
- LinkedIn: https://linkedin.com/in/corey-leath
Building production-grade AI systems, one repository at a time.