I'm a software engineer with 6 years of industry experience in full stack development. I have a particular passion for machine learning infrastructure, linguistics and NLP, and turning research into practical solutions.
Designed and developed features for tools for NLU feature authoring, intake, and release
•
Tools were used by language engineers, translators, and other engineers to author, review, and release deterministic NLU models, including FST (Finite State Transducer) grammars
•
These features are used to analyze end user utterances to decide which specific action Alexa will take
•
Full stack design and development on a React UI with Python APIs, and a Rails UI with Javascript APIs
•
Used AWS to develop and deploy infrastructure
•
Served oncall rotation, debugging and mitigating user issues, responding to emergent issues
•
Met with users to review wireframes, gather feedback and suggestions, and plan feature releases
•
Contributed to onboarding wikis/guides, mentored new hires and interns
Systematically improved project deployment health, unblocking pipelines that had prevented code from being deployed to production for as many as eight months.
•
Implemented production-ready java code for AWS EBS Outposts team, and expanded testing infrastructure
•
Served oncall rotation, responding to alarms, mitigating customer-affecting events, presenting in ops reviews
•
Contributed to onboarding wikis/guides and mentored new hires on the team
Wrote functionality to train machine learning models, predict on customer data, and generate incident reports for a fleet of customer assets
•
Mediated discussions between front end engineers and data scientists to make decisions on displaying ML data to customers in an understandable and intuitive way
•
Architected and built a solution to bring our machine learning infrastructure to the cloud using kubernetes
•
Regularly met face to face with customers to gather feedback for ML-generated incidents, incident quality, and UI design
•
Created schemas, types, and queries in graphql to manage assets and models
•
Utilized Angular with highcharts.js to display live data for customer asset data and machine learning data
•
Developed front end to display AI labelling output for test video data
•
High-volume contributor to internal wiki, including design documents, how-tos, and internal glossary pages
•
Mentored an intern, including project planning, pair programming and regular one-on-ones
