My Projects
Production AI systems, research projects, and published work — each built to solve a real problem.
Neuromorphic Computing
Deep Spiking Q-Networks for Turn-Based Game Environments — Tic-Tac-Toe & Connect 4
RAG
Enterprise RAG System for Structured & Unstructured Intelligence
MLOps
LLM Pipeline Monitoring and Evaluation System
MLOps
End-to-End ML Deployment Pipeline
Reinforcement Learning
RL- and LLM-Based AI Solvers for Wordle & Fibble
Publications
Peer-reviewed research in neuromorphic computing, reinforcement learning, and LLM-based game solvers.
Background
I recently completed my MS in Computer Science at Ohio University, where my thesis focuses on neuromorphic computing and spiking neural networks with the intersection of reinforcement learning, where I explore energy-efficient alternatives to traditional deep RL using biologically inspired hardware.
On the engineering side, I build production-grade AI systems: RAG pipelines, multi-agent orchestrators, LLM monitoring stacks, and backend APIs that actually ship. I care deeply about reliability, clarity, and systems that non-technical collaborators can operate without hand-holding.
Education
Master of Science, Computer Science · GPA: 3.7 / 4.0
Bachelor of Engineering, Computer Science
Experience
- Designed & deployed end-to-end AI systems using LLMs, RAG pipelines, and agent frameworks on AWS.
- Built and integrated AI systems with existing data infrastructure via REST APIs and microservices.
- Debugged and optimized production AI pipelines, identifying failure modes and tuning retrievals.
- Wrote modular, reusable Python code across LLM integration, vector search, and agent orchestration layers with clear documentation.
- Automated backend QA workflows using Selenium and Java for enterprise clients, delivering production-ready automation that reduced manual testing effort measurably.
- Documented testing methodologies, failure patterns, and resolution strategies for both client and internal teams.
Skills
AI Systems & Frameworks
Neuromorphic & RL Research
Engineering & Deployment
Blog Posts
Thoughts on AI engineering, neuromorphic computing, and building things that work in production.