Aspiring Ph.D. researcher specializing in high-throughput MLOps infrastructure, distributed multi-agent frameworks, and autonomous system architecture. Currently architecting scalable microservices in .NET/C# and Python.
Automated via Python & GitHub Actions CI/CD
- AI Engineering Graduate Student
- Software Development Bachelor's Graduate
- Building scalable Machine Learning and MLOps solutions
- I build production-oriented machine learning systems, cloud-native AI infrastructure, and end-to-end data platforms.
- Interested in Applied AI, LLM Systems, Forecasting, and Quantitative Analytics
- Seeking Machine Learning Engineering and AI Engineering Opportunities
- 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 Purdue (Planned)
Bachelor of Science — Software Development Specialized in web and mobile applications DeVry University Specialization: Web & Mobile Applications
Associate of Science — Engineering Technology specializing in Machine learning and design techniques Associate of Science - Information Technology
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.