Worked on building services and infrastructure that power all the company’s ML products. Automated Elasticsearch management, index resizing, and refreshing with zero-downtime migrations. Architected and led the execution of the service that proxies all machine learning models inference requests for all products handling more than 28M reqs/day. Led the initiative for exposing controls across all products to customers through self-serve mechanisms with authentication and authorization built-in
Designed and Implemented circuit-breakers to avoid service exhaustion when downstream microservices fail. Laid out foundations for reusable components for internal tools used in various internal applications across teams, including machine learning training and deployment.
Worked on the Solve team, an AI customer support chatbot. Led the development of the Customer support widget, serving millions of daily requests.
Developed the backend to ingest, process, and output clean financial data to consumers. Developed multiple services to fetch and provide data that powers the site. Architected the financial document module: ~1 billion documents for all ~8k US tickers.
Developed a catalog of features such as watchlists, tables, filings, and time series. Worked on a streaming microservice for real-time financial data (prices, changes, updates)
Developed coursework and exercises on development with JS, Node, Express, and React. Trained junior developers in full-stack web applications. Designed and directed 20+ projects. Wrote technical answers on Quora, reaching +60k students.
