Summary
Swati Singhvi is a Software Engineer at Microsoft’s Azure AI Training & Finetune Services team with six years of experience building scalable software across cloud, web, and research contexts. She holds an MS in Computer Science from UC Davis, where she combined socio-technical research with engineering—scraping and analyzing metadata from 1,000+ GitHub repos and visualizing developer social-technical networks via a custom D3.js tool. Previously she delivered production features using Spring, Kubernetes, OpenShift, and Azure DevOps at Danske IT and boosted e-commerce conversions with a React-driven product customizer during a web-dev internship. Her technical strengths span software development, computer vision, and parallel computing, and she frequently bridges research insights with practical implementations. Based in Redmond, she enjoys collaborative problem-solving and bringing novel ideas from prototype to production. An analytical thinker with a knack for mining developer communication data, she’s as comfortable shipping APIs as she is exploring the human side of open-source ecosystems.
5 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, 3.85/4.0, Master of Science - MS, Computer Science, 3.85/4.0 at University of California, Davis
Bachelor of Technology, Computer Science, 9.16/10, Bachelor of Technology, Computer Science, 9.16/10 at Vellore Institute of Technology