Systems built across industry, research, and education

Built a production-oriented editorial intelligence workflow that transformed broadcast metadata and clip-level inputs into ranked stories, clips, playlists, and reviewable outputs for nightly primetime recaps.

Built backend, retrieval, ranking, and deployment infrastructure for an expert-matching platform serving more than 12,000 profiles.

Worked with industrial control and monitoring systems while developing analytics-oriented workflows for predictive maintenance and operational optimization.

Building reproducible data and LLM-assisted research workflows for studying public discourse, news coverage, and group-hostility signals across large-scale U.S. news datasets.

Researched efficient transformer fine-tuning and normalization alternatives through controlled model experiments, evaluation pipelines, and reproducible training workflows.

Conducted applied machine learning and econometric research across energy markets and M&A prediction, building reproducible forecasting pipelines and evaluation frameworks for faculty and cohort review.

Supported graduate instruction in large-scale data processing, distributed systems, and scalable analytics workflows.

Supported Python and software-development instruction through technical guidance, debugging, code review, and student feedback.

Supported undergraduate Python instruction, assignments, workshops, and foundational software-development concepts.

Supported coursework involving social networks, graph-based analysis, technical discussion, and student guidance.