• Developed software for processing and analyzing neural and behavioral data collected by a combination of proprietary and in-housesystems.• Developed software for the control of experiments, including control of motor controllers and electrical stimulation devices over serial andTCP/IP. Used real-time neural information to implement closed loop brain machine interfaces.• Created hard real-time embedded firmware for stm32 microcontrollers to provide time synchronization between multiple data collectionsystems and directly collect behavioral data.• Modified software for interfacing with prototype iEEG (Intracranial Electroencephalography) hardware to improve temporal accuracyrelative to other data streams from 10+ms to sub 1/4th ms.• Implemented redundant storage solutions for experiment data allowing remote access for collaborators. Included incremental remotebackups.• Implemented the lab and associated organization’s web presence to specifications.• Stack: Python, numpy, Rust

• Developed backend services to performantly expose data and business logic to front-ends in a convenient format.• Optimized critical data paths, sometimes providing >10,000x performance improvements.• Built ETL tools to ingest data from external vendors and integrate it into existing systems.• Set up, maintained and troubleshot linux servers, mainly running apache/modwsgi/django, for production and internal use.• Created frontend UI components based on mockups and specifications.• Developed CI/CD workflows to generate front end html, css and javascript assets.• Performed profiling and optimization across the frontend, backend and database to provide insight into performance bottlenecks andimplement changes to improve application responsiveness.• Stack: Python, MongoDB, Redis, Django, Javascript, Angular 1

Development of front and back-end for data visualization dashboards. Used nodejs/express, d3, jade (now pug), stylus, mysql, git.