I'm a senior software engineer at Google, living in the SF Bay Area. Currently, I'm building harness and memory systems for the Gemini agent. My work also covers its CLI tools, execution environment, and evaluation.

I became interested in AI as an undergraduate in 2017 and started building production AI systems at Google in 2023. As a founding engineer on Gemini in Google SecOps, I helped build a conversational AI assistant for security analysts. I later worked on an agentic context retriever for Google Workspace data, supporting Personal Intelligence in the Gemini app and Google Search.

I'm interested in how agents can complete long-horizon tasks reliably and learn from interaction, and in the scalable training and inference systems that support them. I want to connect execution and evaluation to model improvement, first for agents using CLI tools and computer interfaces, and eventually for models controlling physical actuators in robotics.

Writing

Experience

Google · Sunnyvale, CA

Gemini Agent

Feb 2026 – Present
  • Building harness and memory systems for the Gemini agent, including its CLI tools, execution environment, and evaluation.

Workspace Intelligence

Sept 2024 – Jan 2026
  • Built query understanding systems and a context agent that retrieves and assembles information from across Google Workspace. This work supported Personal Intelligence in the Gemini app and Google Search AI Mode.

Gemini in Google SecOps (Founding Team)

Jul 2023 – Sept 2024
  • Helped build Gemini in Google SecOps, a conversational AI assistant that helps security analysts investigate and respond to threats faster.

Threat Detection in Google SecOps

Dec 2021 – Jun 2023
  • Built platform and execution pipelines for curated detections in Chronicle, enabling customers to use threat detection rules developed and maintained by Google's security researchers.

Blue Cross Blue Shield Association · Chicago, IL

Intern → Programmer → Software Engineer

Jun 2019 – Dec 2021

Internship and contracts with breaks, followed by full-time employment.

  • Modernized a legacy distributed ETL pipeline using caching and parallel execution, reducing end-to-end runtime by roughly 85%.

Education

Master of Computer Science

Illinois Institute of Technology · Chicago, IL

Bachelor of Technology in Computer Science

SGGS Institute of Engineering and Technology · Nanded, India

Selected awards

Winning team · Smart India Hackathon

Ministry of Science and Technology competition, Government of India.

College programming competitions

Code-em-Gamble
Winner
C Brain
Runner-up