My professional experience and background in research, data science, and software engineering.
Designed and executed large-scale causal experiments in VR environments, fMRI, EEG, and eye-tracking/pupillometry studies, end-to-end. Built a production real-time biofeedback platform for causal interventions on attention and memory. Instructed 1,000+ undergraduate students as head teaching fellow across 9 courses in statistics, data science, and the neurobiology of attention and episodic memory.
Designed and deployed experimentation-ready segmentation models for 100K+ WAUs using unsupervised learning across 300+ behavioral and attitudinal features, driving product strategy for activation, retention, and engagement.
Developed computer vision models using TensorFlow to automate biological image analysis (100K+ images). Architected scalable data pipelines for high-throughput computing environments. Instructed 1000+ undergraduate students across 12 courses in statistics, data science, computational methods, and machine learning.
Built and deployed automated SQL data pipeline for patient transition tracking, reducing manual entry time by 25% and reporting latency from days to hours.
Built and maintained e-commerce platform serving 1M+ MAUs with custom CMS, payment processing integration, and inventory management system. Developed content management tools and event registration system for UCLA's student association serving 400K+ MAUs.