* Lead high-performing engineering team (25+ SWEs) building end-to-end userexperiences across Mobile Ecosystem Assistant products (Auto, Wearables,Hearables), driving XXXM+ MAU and XB+ in revenue, with emphasis on quality andgrowth. * My team works on diverse set of problems from building infrastructure powering large scale data collection optimizing our deep learning (NN/LSTM) models for Speech/NLP & evaluation framework for LLM powered features, data analytics platform powering all measurement/launches, reliabilityplatforms for anomaly detection/regression mitigation (pre/post), discovery & growth platform for personalization & targeted discovery, i18N scaling etc, fueling the growth of the Assistant. * Leveraging generative AI to revolutionize Assistant capabilities, mining user insightsfor understanding pain points, breakthrough features and deeper OEM integrations.

* Founding engineer for Assistant on Pixel. Built the serving stack spawning across multiple large scale systems, including the API / microservices, rendering platform serving millions of users. Featured in every Google I/O and Made by Google event, and core to Google's future vision and strategy.* Unblocked Assistant rapid expansion across 10+ surfaces of various form factors (Mobile/Tablet/TV etc) through a extensible server driven, client performant (native) rendering framework used across 100+ features.* Led the development of Assistant on Feature Phone (KaiOS) fueling it to become the biggest assistant surface, integrated across 1P Apps including YT/Maps. Also drove the growth initiatives across all 3 NBU surfaces (KaiOS/Android Go/Android) launching various foundational features of discovery content feed, lens integration etc driving significant increase in QPD and DAU.

* Member of the F1 query team building batch query support for F1, designed for long running queries on large datasets offering improved reliability, scalability, and cost-effectiveness. Build the processing infra, metadata platform & migrated all large scale pipelines processing 10P+ data and opened it up to all Googlers. * Conceptualized and implemented a large scale Input Data Management framework service handling all aspects of importing/validating/serving of userdata/feeds etc used by thousands of googlers daily and helped reduce pager loads by 75%.

* Led a complex Core Revenue Reporting Platform, a critical system underpinning analysis of Google's multi-product revenue streams. This platform supported the massive dataset 100TB+ used by thousands of Googlers monthly, sales platform and was vital to business functions for quota setting, commissions, and forecasting.* Led the development of Financial Data Warehouse used by Tax, Internal Audit, Treasury, Revenue Accounting, Finance with scalable technologies (Mapreduce etc) helping reduce licensing cost by XXM, improving runtime by 750% and laying the foundation for SOX compliance.