• Visiting researcher at the Allen Institute for Brain Science• Investigating automated proofreading methods for neural wiring maps (Connectomics) to help accelerate large scale neural structure analysis. Proofreading with current methods is projected to cost 7-21 billion for the first mouse connectome (Jefferis et al., 2023, Wellcome Trust Report).• Created a graph transformer, trained on 500000 edit neuron samples, to predict neuron merge errors inthe largest EM Connectomics dataset available (MICrONS).

• Secondary owner of a boot-critical infrastructure service that handled 250k Queries Per Second (QPS).• Designed and implemented multi-stage rate-limiting for high-traffic debug logging service (5.7M QPS).• Spearheaded our disaster recovery workflow, successfully recovering data during a data center fire.• Worked with Google Research Connectomics on neural activity prediction in the Zebrafish

• Deployed alarm infrastructure and Canary tests to validate dependencies and ensure CI/CD.• Circumvented system dependency to output compliance findings 2X faster.

• Taught computer logic, x86-64 Assembly, Cache management, Storage allocation, C programming.• Presented thorough explanations of memory hierarchy and the role of the operating system.• Conveyed technical concepts clearly to 50+ students and worked with Professor and a team of TAs.

• Taught introductory topics such as sorting algorithms, data structures, object-oriented programming.• Communicated best teaching practices and common bugs with a team of 101 TAs.

• Built a flight system and component tracker application to record drone history/data.• Replaced C# codebase and XML file storage to a more efficient Java and SQLite data storage model.• Redesigned scrum framework to increase objectives completed by approx. 50%.• Demoed app for engineers, surveys showed 70% of engineers preferred new tracker.