Anurag Mishra

• Overseeing a strong team of 20+ engineering personnel, including engineering managers and lead staff engineers.
• Owning 40+ microservice of an entire product suite of DocuSign CLM AI extension
• Delivering experience in Contract Analytics by providing AI analysis of Agreements/Contracts to help customers uncover organizational risks, obligations, and opportunities
• Our services combines natural language processing (NLP), machine learning, full text search, OCR and rule-based logic to deliver its value.
• Delivered 3 product releases within 9 months of my joining - focused on improving performance, observability and security postures

• Presently building the next gen large-scale Data Platform and Copilot Experience for Global Payments @ Microsoft
• Delivering Fraud Detection, Payment Anomalies, Churn Detection, etc.
• Managed a team of 20+ engineers - Frontend and Data/ML at Microsoft Teams
• Delivered high value customer experience through an improved 'Search' experience at Microsoft Teams, across three pillars - Performance, Relevance & User Experience
• Helped deliver 10+ new UX features in MS Teams Search and improved Performance & Relevance by 2X
• Landed the first AI based feature in Teams Feeds
• Designed and developed an ML pipeline processing several PBs of data daily to generate high value signals which powers several AI based feature in Teams
• Helping in setting OKRs and semester planning for the team working with product and design
• Creating vision and future roadmap for the team - to deliver success through customer impact

• One of the first engineer to work on Wynk Music backend
• Led the backend of entire Content Management System
• Designed and developed E2E Music Search at Wynk using Apache Solr and Spark ML
• Implemented reverse caching layer using Varnish for entire Wynk backend, helped with more than 50% latency and COGS reduction
• Migrate the backend stack to Java 8 and Netty 4.3, improving memory by 25% and latency by 20%
• Designed and wrote the push notification service leveraging GCM and APNS APIs
• Worked on scaling the Wynk backed infra - using Redis, Twemproxy and MongoDB - optimizing CPU, COGS and Latency.

Worked on developing the backend system using Java, for Smart Surveillance Security being built on SaaS model for Homes and Offices.

• Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.