Building scalable AI systems & full-stack applications.
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I’m a senior undergraduate software developer focused on building real, end-to-end systems, not just class assignments. My work blends software engineering fundamentals with applied AI/ML, emphasizing clean architecture, scalability, and production-ready code.
I actively build projects using Python, PyTorch, TensorFlow, Docker, FastAPI, SQL, and CI/CD, with hands-on experience across machine learning pipelines, recommendation systems, backend APIs, and data-driven applications.
🧠 What I’m Working On
AI & Machine Learning projects (training, evaluation, deployment-ready structure)
Backend services and APIs for ML-powered applications
Recommendation systems and data pipelines
Clean, testable, well-documented codebases
🛠️ Tech Stack
Languages: Python, SQL ML / AI: PyTorch, TensorFlow, Hugging Face Backend: FastAPI, REST APIs DevOps: Docker, CI/CD (GitHub Actions) Data: Pandas, NumPy Systems: Linux, Git, Cloud fundamentals
🎯 Career Focus
I’m actively seeking Software Engineering Intern, AI / Machine Learning Engineering Intern, or Platform / Backend Intern roles.
I’ve been referred to Microsoft Explore through professional networking and am preparing for a Master’s in AI Engineering (UPenn). My goal is to gain hands-on industry experience while continuing to build impactful systems.
📂 Featured Projects
🔹 DeepSequence Recommender – Sequence-based recommendation system 🔹 AI / ML Pipelines – Data → Training → Evaluation workflows 🔹 Backend APIs – ML-backed services with clean architecture
👉 See pinned repositories below for detailed implementations.
📫 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.