# Charlotte O'Neill > Staff Software Engineer at Boston Dynamics Location: Somerville, Massachusetts, United States Profile: https://flows.cv/charlotteoneill 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. ## Work Experience ### Staff Software Engineer @ Boston Dynamics Jan 2023 – Present | Waltham, Massachusetts, United States ### Software Engineer @ Amazon Jan 2022 – Jan 2023 | Cambridge, Massachusetts, United States Dept: Alexa AI, Natural Understanding - 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 ### Software Developer @ Amazon Web Services (AWS) Jan 2021 – Jan 2022 | Boston, Massachusetts, United States Dept: EBS Outposts - Snapshots - 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 ### Staff Engineer @ Tignis, Inc. Jan 2017 – Jan 2020 | Seattle, Washington, United States - 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 ### Front End Developer @ The Learning Center for the Deaf (Center for Research & Training) Jan 2015 – Jan 2017 | Boston, MA - Designed a website to provide for the specific needs of American Sign Language users - Designed and developed an ASL-only (no English text) version of the site that utilized images, icons, and gifs - Developed this and other websites with AngularJS, HTML, and CSS ### Software Engineering Intern @ MADE Media NZ Jan 2015 – Jan 2015 - Designed and created a showcase of interactive rich media mobile advertisements, then made it into an app using PhoneGap - Put app on several employees' phones for demonstration purposes - Wrote ads with CSS3 and Javascript. - Worked with Google Maps API to create a custom store locator - Made sure ads comply with mobile ad restrictions set by Interactive Ad Bureau - Designed and created a live customer-facing advertisement ### Research Assistant @ Boston University Jan 2014 – Jan 2014 - Researched and observed meteorites entering and burning up in our atmosphere for Professor Meers Oppenheim, Ph.D. - Examined, interpreted, and parsed raw data from Jicamarca Radio Observatory - Wrote code in IDL to automate the task of identifying meteor trails within the data - Interfaced with a large pre-existing code base and optimized functionality - Deployed code on an Ubuntu server ### Coordinator @ IMEC America Jan 2012 – Jan 2013 - Trained personnel in Salesforce CRM system - Collaborated with other IT personnel to introduce and customize Salesforce - Created and implemented labeling system to accurately track government surplus medical equipment and purchased medical equipment - Transitioned contacts from manual system to contact management software - Reported directly to Director of Operations and Director of Government Dept ## Education ### Bachelor of Arts (B.A.) in Major: Astronomy, Minor: Computer Science Boston University Jan 2012 – Jan 2016 ### Computer Science Boston University Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/charlotte-o-neill-aa436a83 - GitHub: https://github.com/charlonyx --- Source: https://flows.cv/charlotteoneill JSON Resume: https://flows.cv/charlotteoneill/resume.json Last updated: 2026-03-22