• Spearheaded a new iteration of catalog data ingestion software by capitalizing on Golang's ability to handle concurrency efficiently, allowing it to ingest exponentially larger catalog data from SaaS clients

• Updated existing catalog related microservices to have more of their components available as SaaS products and features

[Spresso.AI was spun-off from Boxed]

• As a lead developer in charge of product list management microservices within Catalog team, worked with cross-functional teams to upgrade an existing in-house e-commerce platform into a multi-tenant e-commerce SaaS

• Worked with Data Science team and Infrastructure team to implement MLOps principles to facilitate developing and delivering SaaS features using machine learning models

• Mentored and discussed key development concepts, such as architecture, algorithms, and data structure, that are relevant to tasks of the team

• Developed various product list management microservices as a member of Platform team

• Led development of an in-house last mile delivery system (order management internal tool + iOS/Android worker app) with focus on adding ability to optimize order assignments using Google OR-Tools

• Revamped old software used for products search into a microservice with lower latencies that integrates better with other parts of platform as a lead developer

• Developed model training and deployment pipelines for product recommendation and price optimization APIs by working with Data Science team as a lead developer

• Managed geospatial SQL database server and developed relevant internal tools used by other teams in order to efficiently and accurately deliver data for various commercial fleet management SaaS

• Examined statistical significance of various cross-national sentiments in Wikipedia by analyzing its text data using machine learning models, building on prior research at the Users & Information Lab