I build software that connects useful interfaces, reliable APIs, and measurable AI experiments.
I'm a software engineer with an M.S. in Software Engineering from Cleveland State University. My work spans backend development, full-stack applications, and applied AI, with a foundation in software validation and QA.
I care about clear architecture, reproducible experiments, and understanding where a system succeeds—and where it still needs work.
A working prototype that answers consumer-finance questions using retrieved CFPB guidance and a locally running language model.
- Built a repeatable ingestion pipeline and hybrid retrieval with Neon pgvector.
- Trained a Qwen3-1.7B LoRA adapter and recorded controlled base-versus-adapter comparisons.
- Converted the model to 4-bit GGUF for CPU inference and connected it to a Next.js interface.
- Documented retrieval results, model regressions, and evaluation limits instead of treating citations as proof of accuracy.
Stack: Next.js · TypeScript · Node.js · PostgreSQL · pgvector · Python · PyTorch · PEFT · llama.cpp
A full-stack storefront with product browsing, checkout, and order workflows.
Focus: Stripe and PayPal payments, inventory reservations, order fulfillment, and confirmation emails.
Stack: Next.js · Supabase · Stripe · PayPal · Resend · Vercel
A security control plane for autonomous AI agents, focused on identity, authorization, and auditability.
Stack: Go · PostgreSQL · Docker
A backend-first clinical support prototype combining an LLM-driven workflow with a PyTorch triage classifier.
- Integrated agent tooling through MCP.
- Added structured logging for auditability and compliance readiness.
Stack: Python · Flask · Claude API · PyTorch · MCP
A full-stack e-learning application with Django REST APIs, React/TypeScript interfaces, MySQL persistence, and an OpenAI-powered recommendation workflow.
- Delivered recommendation functionality that increased learner engagement by 30%.
- Supported 1,000+ concurrent learners.
Stack: Django REST Framework · React · TypeScript · MySQL · OpenAI
| Area | Technologies |
|---|---|
| Backend | Go, Python, Java, Node.js, Flask, Django REST Framework |
| Frontend | TypeScript, React, Next.js |
| Data | PostgreSQL, MySQL, Supabase, Neon, pgvector |
| Applied AI | PyTorch, Claude API, OpenAI, MCP, Hugging Face, RAG, LoRA, model evaluation |
| Infrastructure | Docker, Git, GCP, Vercel |
| Quality | API testing, integration testing, regression testing, software validation |
Building stronger backend and AI systems through practical projects: improving answer reliability, designing dependable APIs, and making experiments easy to reproduce.
I'm interested in opportunities across backend engineering, full-stack development, and applied AI.
Build it. Measure it. Explain the trade-offs.