• Helped scale the product and infrastructure during months of rapid user growth• Shipped features to improve the calendar optimization experience. Worked with stakeholders across multiple teams to define requirements and continue to make improvements after shipping.• Experimented with various algorithms to improve our core product offering (simulated annealing, evolutionary algorithms, reinforcement learning)• Built out better inferred defaults to improve the user experience based on both explicit and implicit user feedback• Built out roadmaps and created processes to reduce technical debt and ensure the team's success as it scales

SafeGraph builds and maintains location datasets to accelerate innovation including the most accurate points of interest (POIs) dataset for the United States.• Used different machine learning toolkits (xgboost, spark ml, keras, custom geospatial/temporal clustering) to build out our core geospatial products.• Lead a team of 6 engineers/data scientists in building multiple products including geospatial spark jobs, internal tools, a data ingestion API/ETL pipeline, etc.• Built spark jobs responsible for processing terabytes of data every day• Set up a lot of infrastructure responsible for managing/monitoring our pipelines/APIs• Ran security audits and fixed any issues that came up, technical or otherwise• Built out tools/dashboards to free up more eng resources and give sales/CS more leverage

• Built our core ML/NLP pipeline which automatically retrained models, tested, and published them• Designed and built a customer onboarding UI and backend to make onboarding new customers knowledge bases trivial• Brainstormed and implemented many different ML features and models to improve our product• Monitored/debugged production issues as they came up

Leading a cross functional team of 15-20 developers, QA, product managers, designers, and performance engineers supporting a legacy product, hardening the infrastructure, redesigning the frontend, improving our APIs and authentication, and fighting fires in the field

Worked on a variety of complex problems including distributed data sharing, federated search, authentication/authorization, internal deployability, and internal APIs.