Building ADK agents and A2A for Data Governance.

Using LLMs and Supervised Learning to label data and infra assets across google to enable Data Governance.

Used Few shot examples and prompt engineering to build LLM annotators for labelling code and policy artifacts.

Worked with expert human labelers to create golden datasets and Evals.

Researching Agentic Labelling flows using Gemini Reasoning models and internal MCP alternatives.

Created an AI chatbot to answer customer queries using Retrieval Augmented Generation on top of Google Gemini LLM.

Built the knowledge base pipelines for RAG by ingesting documentation, code, tickets and incidents to an Embeddings index.

Built a custom team benchmark to generate a numeric eval score. Few permutations of models, knowledge corpus and context window size were rated to get the best score.

Acted as Tech Lead for 4 devs. Scoped out projects by working with Product and Clients. Broke down projects into incremental milestones. Worked with developers to execute and land milestones.

Owned Client engagement as an Infra Tech Lead. Led Client Office hours meetings to review designs and bugs.

Implemented next-gen batch processing scheduler using Topological ordering and reduced CPU cost by up to 50%.

Designed detailed cost attribution and processing filters so clients could understand and reduce expenses.

Implemented UIs, load shedding, isolation and automation to allow clients to operate in a self service manner.

Scaled our batch processing system from 5 to 10 Million+ qps to enable Launch of Photos Memories feature.

Indexed 250 Trillion rows for the Photos app search feature.

Designed aggregation pipelines for Gpay to reduce dashboard freshness latency from 2 days to 5 mins.

Improved stream processing SLO from 99% to 99.7% by improving load distribution while maintaining high utilization.

Evolved our processing system to support multiple namespaces by sharding each layer in our distributed monolith.

Onboarded Gpay as a client. They used the sharded system I built for data aggregation and executive dashboards.

Built React components for our Merchant Configuration portal. Developed REST api using Node + Express backend

Improved maintainability by implementing Behavior Driven Development using Mocha, Expect and Rewire

Worked on a framework to automatically create Jenkins jobs by parsing Github repos. Setup builds for Python, C++ drivers.

Designed a JavaScript framework for embedding chat clients that decreased client on boarding time by 70%

Implemented JAX-RS RESTful API using Jersey that served user roles used to render UI components