At SDSU STAR Lab, I’m developing a computer vision pipeline that detects and tracks vehicles in drone video, turning unstructured footage into trajectory datasets for transportation safety research. I also analyze trajectory data to calculate safety metrics and identify patterns in vehicle behavior.
At Otto IT Group · Otto Group, I built REST API integrations and data pipelines across Azure and GCP, and implemented Elastic Stack monitoring that reduced mean time to error detection by 50%. I’ve also developed conversational AI applications, RAG systems, and NLP pipelines, including a product-matching model that achieved 75%+ accuracy across 100K+ listings.
