Transforming cutting-edge AI research into real-world applications. Specializing in Generative AI, Computer Vision, and Multimodal Systems.
Years Experience
Publications
Projects
Bridging the gap between academic research and practical AI applications
I'm a Senior Machine Learning Engineer based in Austin, Texas, with a PhD focused on adaptive activation functions in neural networks. I specialize in transforming cutting-edge AI research into practical, scalable solutions.
University of Texas at Arlington
Enterprise AI Solutions
15+ Published Papers
Exploring spatial AI understanding
Cardiac MRI & pathology analysis
Vision-language models for maintenance
Leading development of enterprise AI solutions across multiple domains including medical imaging, automotive safety, and aerospace applications.
Applied machine learning solutions for client projects at Unique Software Development.
Developed AdAct, a novel adaptive activation algorithm for neural networks. Demonstrated superior performance over traditional ReLU across various architectures.
View DissertationEnd-to-end MONAI pipeline with self-supervised learning for cardiac MRI analysis. Optimized with TensorRT and deployed on AWS.
Vision-language model for aircraft part defect detection and RAG system for automated repair instructions.
Custom RAG pipeline for medical information retrieval using Milvus DB, rerankers, and generative AI.
Technical lead for multi-use-case computer vision system with active learning and drift detection.
I'm always interested in discussing new opportunities, research collaborations, or innovative AI projects.