Production AI
Turning AI capabilities into reliable systems that work inside real products.
BACKEND · AI · PRODUCTION SYSTEMS
I build end-to-end machine-learning pipelines, NLP systems and production-grade backend APIs. My focus is the layer where data, models and software engineering meet: reliable systems that can actually ship, scale and be maintained.
Turning AI capabilities into reliable systems that work inside real products.
Maintainable backend architectures built around APIs, data models and background workflows.
Combining LLM workflows with retrieval, validation and reliable service layers.
Open a folder to inspect the project in a terminal-style README.
2022 → PRESENT
Sep 2022 — Jun 2026
B.S. in Computer Engineering
GPA 3.02 / 4.00
Nov 2025 — Mar 2026
Data Analyst Training Program
Applied data analysis and Microsoft ecosystem training
Aug 2025 — Dec 2025
Advanced AI Specialization with Python
Machine learning and AI specialization program
Jul 2026 — Present
CURRENTBackend AI Engineering Intern
API contracts · data models · RAG / agent loops · production backend
Jun 2026 — Jul 2026
Undergraduate Researcher
Automated data-analysis workflows for academic research
Jul 2025 — Sep 2025
Software Engineer Intern
C# / .NET Core · REST APIs · MS SQL Server · relational data models
I am always interested in thoughtful engineering problems, AI products and production data systems.