Mar 2019 – Present · 7 yrs · Bengaluru Area, India · Hybrid

• Infrastructure Team - Next-generation infrastructure and platforms
• ➤ gRPC: Next Generation Service Infrastructure
• Developed gRPCurli - a LinkedIn wrapper over gRPCurl (curl for gRPC servers) that lets you interact with gRPC servers. It's basically curl for gRPC servers.
• Implemented some important features in gRPCurli such as Invocation Context, RPC header, Distributed Tracing, Datavault authentications, DV Fast access, D2 Proxy, Call tree and Streaming.
• Working on Sceptre, a service discovery tool that enables the discovery, exploration, and experimentation with various gRPC resources and APIs.
• Working on Discovery and Exploration of Entity Relationships for LinkedIn as a whole.
• ➤ Leading Ravens, a sophisticated Notification Subscriptions system for implementing various notification channels, including email, calls, messages, and Slack, to ensure effective incident communication and management.
• ➤ Site Health: A WebApp being used internally at LinkedIn for health status of different verticals such as traffic status, Issue Auditing, Loadtest Dashboard and Service Mappings (Oracle, Espresso, Venice).
• ➤ SenSus: A Deep Learning model based on the Convolutional Neural Network trained on top of pre-trained word vectors (Word2vec) for Sentiment Analysis of LinkedIn related tweets.
• ∙ Developed using Tensorflow and achieves an accuracy of approx. 85% with as better as approx. 0.3 seconds per sentence evaluation time.
• ➤ Omnibot: A Slack bot based on Slack’s Real Time Message API.
• ∙ Developed Failout Status plugin which fetches the current traffic status of POPs (Point Of Presence) & Fabric/ Colo (Datacentre) by querying several APIs and self-developed APIs to get current QPS, Buckets count, Failout ticket, Failout Time, etc.
• ➤ Build tools for efficient site issue troubleshooting, issue detection & correlation.