Hi, I'm Corey Leath

AI / ML Systems Engineer focused on building production-grade machine learning platforms, distributed systems, and enterprise MLOps infrastructure.

I specialize in designing and deploying scalable AI systems that move beyond experimentation into production environments.

I’m currently a senior in a Bachelor’s program specializing in Web, Mobile, and AI development at Devry University and am advancing toward a Master’s in AI at the University of Pennsylvania. I am an IEEE Member and I’ve been referred to Microsoft’s Explore program and am currently interning as a Software Engineer I at WellBe Insurance. My work involves C#, React, TypeScript, npm, and VS Code, supported by collaboration tools like Jira, Microsoft Teams, Slack, and Freshservice for ticketing. Additionally, I leverage GitHub Copilot to enhance development efficiency. This blend of practical experience and industry tools ensures I’m delivering professional-grade solutions in every project.

My work emphasizes:

• End-to-end ML pipelines
• Model deployment & monitoring
• Distributed inference systems
• Kubernetes & cloud-native infrastructure
• CI/CD automation
• Secure containerized architectures
• Observability & reliability engineering

Currently focused on:

• Predictive Maintenance Systems
• Autonomous Vehicle Safety & Geofencing
• Real-time ML APIs
• Production MLOps platforms

Core Technical Stack

• PyTorch
• TensorFlow
• Scikit-learn
• XGBoost
• MLflow

• Python
• C++
• FastAPI
• REST APIs
• Distributed Services

MLOps & Infrastructure

• Docker
• Kubernetes
• Helm
• Terraform
• GitHub Actions
• CI/CD Pipelines
• Prometheus Monitoring
• Trivy Security Scanning
• SonarCloud Static Analysis

Data & Streaming

• Snowflake
• FAISS
• Feature Engineering Pipelines
• IoT Data Simulation

Featured Enterprise Projects

Predictive Maintenance IoT Platform Production-ready ML system with:

• FastAPI inference service
• Streamlit monitoring dashboard
• Docker + Kubernetes deployment
• CI/CD + Security scanning
• Infrastructure as Code

AutoGuard AI – Autonomous Vehicle Safety Platform

• Transformer-based perception models
• Reinforcement learning driving simulation
• Real-time geofencing
• MLflow experiment tracking
• Helm + Kubernetes deployment

Facial Emotion Recognition System

• CNN & ResNet architectures
• Evaluation metrics tracking
• Dockerized deployment
• Structured modular architecture

Engineering Philosophy

I focus on building systems that are:

• Reliable
• Scalable
• Observable
• Secure
• Measurable
• Production-ready

Machine learning models are valuable — but deployed systems create impact.

What I'm Building Toward

• Senior-level ML Engineering roles
• Distributed AI infrastructure
• Real-time inference platforms
• Enterprise-grade reliability systems
• High-performance backend ML architectures

Current Focus

Sharpening:

• Advanced system design
• Distributed architecture
• Production ML scaling
• Infrastructure automation
• Performance optimization

⚡ Always building. Always improving. Always shipping. 📫 Let’s Connect

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

GitHub: https://github.com/Trojan3877

⭐ If you’re a recruiter or engineer looking for a motivated junior engineer who learns fast and ships working systems, I’d love for you to explore my work.