Oct 2024 – Present · 1 yr 5 mos · On-site

• Bring cutting-edge AI to life through agentic systems, semantic reasoning, and hierarchical thought prompting to unlock next-level supply-chain performance.
• Spearhead design and implementation of AI-centric data infrastructure for Google’s global hardware supply chain (Pixel, Nest, Fitbit):
• > Orchestrated an Agentic AI framework leveraging multi-agent pipelines for end-to-end incident response, demand forecasting, and exception handling. Sub-agents autonomously ingest logs, detect anomalies, plan containment runbooks, and execute remediation—reducing manual intervention by 85%.
• > Architecting and deploying an enterprise knowledge graph + semantic layer on Google’s internal graph store, enabling:
• RAG-powered LLM retrieval: fused structured graph context with unstructured docs for real-time decision support.
• Self-service semantic queries for supply-chain analysts via Looker, reducing report development time by 60%.
• Pioneered Chain-of-Thought and Tree-of-Thought prompting strategies in internal LLM services to guide complex planning tasks:
• Stepwise reasoning for inventory balancing, backtracking infeasible reorder strategies, and selecting optimal replenishment policies.
• > Built end-to-end Mixture-of-Agents orchestration: data-fetch, reasoning, evaluation, and execution agents communicate via Pub/Sub, enabling dynamic task decomposition and parallelism in KPI dashboard generation.
• > Led XFN collaboration with Planning, Sales, Master Data & Finance to translate AI prototypes into production pipelines—delivering a unified KPI mart supporting 50+ metrics and dashboards.

Apr 2023 – Oct 2024 · 1 yr 6 mos · On-site

• Leading a global team of data engineers to enable end-to-end Infrastructure management for centralized Supply chain Data Warehouse of the Consumer Hardware Product Area of Google (Pixel, Nest & Fitbit Devices etc.)

Mar 2020 – Apr 2023 · 3 yrs 1 mo · On-site

• > Design and development of multiple data warehouse systems based on BigQuery as well as Google's internal Big Data Query Engine
• > Managing ETLs/Relevant Data Infrastructure to ensure business gets it's critical data in a timely & trusted manner
• > Configuring various internal tools/backend storage/access groups to set up redundancy & availability of data and enforcing data access policies
• > Performing complex and large scale data analysis on various business datasets from heterogeneous data sources using SQL, Python (Colab/Jupyter) to Drive key insights and deliver business impact
• > Creating visualizations/self service BI reporting dashboard suites (Data Studio/Looker/Tableau) which showcase important metrics to Leaders within Google
• > Developed Data Mart to support unified XFN KPI dashboard suite supporting Planning Ops, Sales & Finance

Sep 2018 – Mar 2020 · 1 yr 6 mos · On-site

• I was one of the founding member of a Data Warehousing team from scratch to own the data warehouse for Google's consumer hardware supply chain operation, ultimately scaling to 10+ staff and 1000+ customers.
• On the systems side, I designed and developed the data integration for Google's hardware supply chain systems, with a focus on demand & supply planning and item master.
• Primarily focused on enabling a stronger supply chain via robust data pipelines, reporting, and consultation serving supply chain teams, sales, and planning.
• Key responsibilities include:
• Develop and enhance data pipelines for Devices & Services and work alongside planners, suppliers, sales & engineering teams to build robust data infrastructure for all users
• Provide broad data, dashboard, and analytical support to Hardware org by working closely with Logistics, Fulfillment, Quality, and Planning teams
• Lead horizontal projects critical to business systems data and infrastructure