Turning complex datasets into structured intelligence and dependable AI systems.
Background &
Beyond.
I am an AI Engineer with specialized experience building production-grade generative AI systems, complemented by a background in machine vision and data science. My work spans multi-agent workflows, RAG pipelines, model deployment, and full-stack interfaces for real users.
Interests & Passions
I enjoy projects where advanced AI capability has to meet practical constraints like reliability, auditability, latency, and human review. That is where thoughtful engineering makes the biggest difference.
Working Style
I operate at the intersection of research and production engineering. I prioritize measurable system quality, deterministic outputs, and building interfaces that make complex AI systems auditable and trustworthy.
Experience
Recent Work & Impact
AI-CCORE
August 2024 – PresentAI Engineer (Project Lead)
uBEATS Pulse AI (UNMC Project)
- Architecting a standalone AI Teacher Agent to automate curriculum alignment with Nebraska standards for 107 modules.
- Built a web-based SME validation platform with conversational AI, reducing token usage by ~30% via prompt engineering.
- Developed export pipelines (CSV/JSON) to ensure auditability and compliance for educational standards.
Farm Credit Services of America (FCSA Project)
- Deployed a supervisor-orchestrated multi-agent system (LangGraph) for end-to-end credit review automation.
- Integrated Snowflake, MLflow, and GPT-5 to deliver production-ready APIs and scalable ETL pipelines.
- Achieved a ~70% reduction in manual analyst effort while improving auditability and consistency.
AI Bootcamp & Mentorship
- Designed enterprise AI prototypes using Langflow and built scalable full-stack applications with Supabase.
- Mentored developers in modern AI workflows using Cursor, v0.dev, and MCP for rapid application development.
University of Nebraska at Omaha
Aug 2024 – Dec 2024Graduate ML Research Assistant
- Researching medical image segmentation for retinal imaging using SAM2 and transformer models.
- Developed a semi-automated pipeline for longitudinal tracking of disease progression.
- Contributed to a research manuscript and collaborated with clinical stakeholders for visualization.
Technical Arsenal
Tools & Technologies
Programming & Data
AI/ML Frameworks
MLOps & Deployment
LLMs & GenAI
Computer Vision
Education
University of Nebraska at Omaha
Master of Science in Data Science