Research Software Engineer · AI/ML
Building production LLM systems, agentic workflows,
and scalable backends at the edge of research and engineering.
Computer Science undergraduate at the University of Southern Mississippi (GPA: 4.0) shipping production AI systems and scalable backends. I build LLM pipelines, agentic workflows, and cloud infrastructure — from NOAA oceanographic data libraries to real-time citation graph engines.
Production LLM pipelines with RAG, agentic workflows, and multi-source tool integrations using LangChain, OpenRouter, Gemini, and GCP-hosted inference.
High-throughput services in Go, Node.js, and FastAPI with microservice architecture, Redis caching, OpenTelemetry tracing, and sub-100ms p99 at 15k+ req/min.
Terraform-managed GCP/AWS/Azure, Docker, GitHub Actions CI/CD, and large-scale pipelines processing 17M+ records across distributed cloud systems.
Python · TypeScript · Go · C/C++ · SQL · Java · React · Next.js · Node.js · FastAPI · LangChain
PyTorch · LLM Pipelines · RAG · Agentic Workflows · Transformers · Scikit-Learn · OpenRouter
GCP · AWS (ECS, Fargate, S3) · Azure · Docker · Terraform · GitHub Actions · OpenTelemetry
PostgreSQL · MongoDB · Elasticsearch · Redis · Firebase · Supabase
AI coding agents orchestrated in Daytona sandboxes via Vertex AI with real-time WebSocket/SSE output. ConnectRPC Go microservice with OpenTelemetry tracing on Terraform-managed GCP.
Multi-stage LLM pipeline (extract → normalize → gap-detect → verbalize) with real-time citation graphs via Sigma.js + ForceAtlas2 — cutting parse failures ~85%, latency 60%.
AI-powered educational app with personalized course generation, adaptive quizzes, and smart flashcards powered by Gemini API and Firebase real-time sync.
Open to research collaborations, engineering roles, and interesting projects. Reach out anytime.