I am a passionate Machine Learning Engineer and Software Developer currently pursuing my Master of Science in Computer Science at the University of Colorado Boulder (GPA: 3.93/4.00). With expertise in Machine Learning, Deep Learning, and AI Systems, I specialize in building production-ready ML pipelines, real-time inference systems, and scalable data infrastructure. Currently, I'm working at Owl AI on real-time sports analytics using computer vision, temporal modeling, and probabilistic methods, while also serving as a Teaching Assistant for Distributed Systems.

My professional experience includes ML engineering internships at Owl AI (building real-time snowboard analytics with TensorRT and MediaMTX) and Idaho National Laboratory (developing segmentation models for nuclear materials using SAM/SAM2 and HPC infrastructure). Previously at Phamax, I co-architected Ariya, a Microsoft-certified Teams SaaS assistant with RAG capabilities, and optimized data pipelines using Azure Cognitive Search, Databricks, and Spark. Currently, I serve as a Teaching Assistant for Distributed Systems at CU Boulder, supporting Prof. Mark Zhao. I'm also actively involved in hackathons, winning 3rd place in T9-MediHack 2025 and 7th place in AWS Jam, and contribute as a Technical/Data Consultant at Data Buffs and Co-Founder of Layers Club.