Building production-grade AI systems that ship — from RAG pipelines and multimodal transformers to serverless AWS inference APIs. M.S. Data Science & AI · UCM · 3.77 GPA.
I don't just build models — I ship AI systems. My work spans the full stack: data pipelines and model training through RAG architectures, transformer fine-tuning, and cloud-native deployment on AWS.
Currently pursuing my M.S. in Data Science & Artificial Intelligence at the University of Central Missouri (GPA: 3.77/4.0), I previously worked at PricewaterhouseCoopers in AI Competency and HealthEdge Technologies as a QA Engineer — giving me a rare blend of industry rigor and cutting-edge AI research.
I'm focused on Generative AI, LLMs, RAG pipelines, and multimodal AI. My arXiv-RAG project benchmarked three embedding models achieving perfect MRR 1.000 with BGE. My ClarifyAI platform hits sub-2-second query latency on a fully serverless AWS architecture.
I hold an AWS Certified Solutions Architect – Associate (Mar 2026) and am actively contributing to research on self-supervised learning methods.
Looking for full-time AI Engineer, Data Scientist, or ML Engineer roles — available June 2026.
Actively seeking full-time AI Engineer, Data Scientist, and ML Engineer roles in the United States. Available to start June 2026. Let's build something that matters.
✉️ Send a Message ↗