7+ years building AI systems from research through production — across medical, aerospace, and industrial domains.
Work History
Experience Timeline
2021 — Present
Senior ML Engineer
Austin, Texas
Leading development of enterprise AI solutions across medical imaging, automotive safety, and aerospace applications. Technical lead on multi-stakeholder projects from research through production deployment. Responsible for architecture decisions, team mentorship, and stakeholder communication.
Custom semantic search RAG pipeline with Milvus DB · Web-based RAG for Llama 3.1 and Mistral 7B · YOLOv8 deployment with Docker & Kubernetes · Local AI assistant on home hardware (Project C).
RAGMilvusYOLOv8Local LLMs
2017 — 2021
PhD Researcher
University of Texas at Arlington
Developed AdAct, a novel adaptive activation algorithm for neural networks. Demonstrated superior performance over traditional ReLU across multiple architectures including CNNs, RNNs, and Transformers. Graduated with distinction and published 15+ papers across top ML venues including ICLR, Evolutionary Intelligence, and ArXiv.
Applied machine learning solutions for client projects across data analysis, predictive modelling, and automated reporting pipelines. Worked on NLP and time-series forecasting use cases.