Vrinda Singhal

Copilot Tuning builds specialized Copilot agents based on the fine-tuned models that are tailored to business tasks. An AI-powered, no-code fine-tuning capability in Microsoft Copilot Studio that empowers enterprises to adapt large language models to their unique business context.

Global Hackathon 2024 - Executive Challenge Winner, Science Fair Winner Driving the design and development of large-scale distributed services on Azure. Experienced in .NET, Cosmos DB, and API design, with a focus on building resilient cloud platforms that power billions of user experiences worldwide

Global Hackathon 2023 - Executive Challenge Winner, Science Fair Winner Designed and developed cloud-native services for Microsoft Teams using .NET, Azure, and Cosmos DB. Focused on building resilient APIs, optimizing system performance, and collaborating on architecture to deliver large-scale enterprise solutions.

Backend development of On-Premises Agent of Microsoft Graph Connector using Actor Model, C#, SQL. Optimized client resource utilization by shortening the application’s execution time by 52% and improving throughput by 54% by developing a new data ingestion framework. Performed scale testing with 8 Million+ items. Increased reliability and robustness against crashes by designing & implementing an auto-recovery mechanism.

Developed frontend in React of global lobby experience to be used annually by ~1.5 Million guests for checking-in at the office; to be deployed to ~500 Microsoft offices. Partnered with designers to create an intuitive user experience.

Built an open-source machine learning pipeline to predict activating ligands for olfactory receptors of breast cancer to aid in drug discovery; funded by DST, Govt. of India. Won - RIISE, IIITD Research Showcase from a pool of 60+ research projects.

Chancellors Gold Medal for All Round Performance Award Published research papers in the field of computational biology Won - RIISE, IIITD Research Showcase