Jan 2023 – Feb 2024 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Built Nimbleedge’s Federated Learning (FL) platform and individually designed, and managed their ML model
• sampling, training and aggregation systems.
• Critical in Architecture decisions on edgeML C++ SDK built on top of Onnx runtime. Which enabled us to distribute
• wrappers for React-Native, Dart and Swift runtimes. To be deployed in iOS and Android applications.
• Went live with a enterprise with 100M MAU. Systems I built were handling 20K requests per second at peak load. We
• did 50M inferences a day on EdgeML deployments.
• Converted FL Research papers into Deployable and maintainable applications.
• Implemented FL strategies such as FedAvg, Model Finetuning in the edge, Client Selection Polling, Secure Aggregation,
• etc.
• Mentored and worked with Junior engineers and interns on deliverables and deployments.

Oct 2021 – Jan 2023 · 1 yr 3 mos

• Part of the Governance team. Working on control plane services, Securing and governing privacy-vault.
• Worked on RBAC and PBAC engines which enabled users to define granular access control, enabling users to
• control access at table, column, row, location(based on IP lookup) and data-region level accesses by applications.
• Designed and built service token based authentication for machine to machine Access management
• Migrated from a single tenant architecture to a multi-tenant architecture. With data residency in multiple
• regions. Globally Rolling deployments with ¡3 minute downtime for enterprise users.
• Worked on performance optimisations for the Data governance engine. Which reduced p99 response time from
• 150 ms to 5ms at 15K rps by leveraging hierarchical caches and cache invalidation algorithms.
• Migrated from an Arangodb based backend to Mongodb, with 80 Million records coming to about 1TB data, with zero
• downtime To improve reliability and performance

May 2019 – Jul 2019 · 2 mos

• Worked on internal tooling for software reliability, testing and deployment.
• Implemented on-demand end to end and integration Test running environments for developers with support for backend (linux) and frontend (MacOs native, Windows native, android, ios and Web) codebases.

Apr 2019 – Oct 2021 · 2 yrs 6 mos

• As a member of the platforms team, built Insurance audit platform organizing logs and information across 15 different
• services, built pdf digital signing, and claims payout and payin management services.
• Improved developer tooling and compile-time over a rust codebase, by optimizing heavy dependencies and building infra
• for remote code compilation to accelerate dev time.
• During a period of management turmoil, stepped up and managed more than 150 releases over a period of 7
• months coordinating across 8 different teams, besides regular development tasks.
• pre-github-actions, Built an CICD platform with AWS device-farm to test, run and deliver test results on both frontend
• and backend systems. This reduced regression testing time by 80%