Established the company's technical vision and strategy; recruited and developed a high-performing cross-functional team of engineers and product managers from the ground up to build an AI/ML platform, reducing the burn multiple from 3x to under 1.5x.Led the architecture, design, and development of an AI/ML platform for the Law Enforcement Department, enhancing crime response rates by 30% through advanced analytics and ML techniques.

Leadership & Organizational impact:• Influenced and drove a redesign of GA product architecture grounded on 30k+ User intents & User context, enhancing concept-to-launch efficiency, and success factor of product strategies by one-third.• Headed a team of PMs and TPMs in an initiative to streamline internal business capabilities with Google Assistant's vision and business strategies. Established and launched an adaptive business process to orchestrate end-to-end value stream - from market research, multi-channel user analysis, prioritization to development, and launch. Reduced Goto Market cycle time by 60%, gained 30% rise in proactive score, and promoted CSAT from 3.8 to 4.3.• Led a comprehensive program to plan and execute Org OKRs, aligned topline KPIs with product vision, established a collaborative environment among 20+ teams & executives, ensured on-time delivery of all OKRs, boosted org productivity by 30%, achieved 90% of OKR targets, and enhanced product quality score by 25%.

Strategic Business & Product development:• Headed a team of PMs and TPMs in an initiative to streamline internal business capabilities with vision and business strategies. Established and architected an adaptive business process to orchestrate end-to-end product life cycle - from multi-channel market research, competitor analysis, planning, prioritization to dev and launch, reducing 60% Go to Market cycle time, gaining 30% in proactive metrics and elevating CSAT from 3.8 to 4.3.• Steered and managed infrastructure team to develop Conversation Protocol, which routes interactions between millions of devices and Google Assistant. Coordinated initiative across 45 cross-functional/geographical teams and delivered protocol with 99.2% success rate at scale of 4 billion monthly user interactions.• Strategized and built a BI platform that generated stream of actionable insights and executive QBR reports by synthesizing high-impact product recommendations, addressing silo operation challenge and multi-dimensionality complexity of Assistant. Yielded continuous improvement of quality and user engagement by 5% QoQ.• Proposed and redefined NorthStar metrics that ensured high relevance to product success and pain points, partnering with Data Science and PM org. Managed Machine Learning team, and built AI models to predict successful user interactions with high precision and recall based on 100+ user & ambient signals.

Google Assistant

Thought Leadership & Partner management:• Grew Local Inventory Search Ads revenue from key partners by 40% by optimizing product integration and strengthening partner relationships with Walmart, Target, REI, and large retail businesses.• Increased 35% (~5 million) SMB Merchant Ad Promotions by instilling product excellence, thought leadership and promoting a culture of success attribution to SMB partners.• Motivated and recruited a cross functional team including Gmail, Calendar, Maps, Travel, Legal, Privacy and Marketing to build personalized Google Now features that provided contextual info to users based on mail, calendar, travel, and current location. Features like Navigate to Meetings, My Flight Status, Coupons to Nearby Stores gained >10 million users.

Engineering Excellence & People management: • Architected sustainable and decentralized system to implement Pistol permit systems for New York State Department that saved $500 million by leveraging federated architecture across 62 NY counties.• Designed a SaaS platform integrating FBI Database, Mental Health Systems, National Crime DB, reduced Criminal Background Check response time from weeks to real-time, and improved recall/precision by 30%.• Consulted and collaborated with 35+ IBM Enterprise Clients to optimize adaptive value stream models catered to clients; and accelerated 35% business model efficiency on average by modelling business capabilities, scalable processes, and data governance.

Business Infra & Org Transformation: Software Architect• Spearheaded strategic initiative to optimize media production workflows by redesigning platform architecture, implementing lean principles, and eliminating inefficiencies; and saved $300 million yearly through automation and strict adherence to software design best practices.• Designed business domain models, capability models, SOA architecture, UI information architecture, and data model to develop robust platform for NBCUniversal website that hosts real-time news and live media streams.• Engineered solutions for media delivery platform to achieve high fault tolerance with 99% media availability and improved reliability and robustness of live web streaming.• Implemented 20+ enterprise solutions to digitize and transform NBC Universal media business unit, significantly improving media production efficiency.Technology: WS-BPEL(IBM), J2EE, Spring, Hibernate, Oracle, PL/SQL, ESB, WPS, WAS, Tomcat, IBM Rules Engine, Tibco EMS.

Technology: WS-BPEL(IBM), J2EE, Spring, Hibernate, Oracle, PL/SQL, ESB, WPS, WAS, Tomcat.Projects: Dotmedia: An enterprise-wide initiative, aimed at automating and simplifying the media content supply chain throughout NBC Universal.Online Video Catalogue: A media asset metadata repository system and a search engine that assists the business users to persist, search, transform and export media metadata and deliver it to the customers.Accomplishments:• Designed domain models, business workflows, underlying services, sequence diagrams, deployment diagrams, component diagrams, SOA diagram (using Rational Software Architect).• Introduced spring framework to the team. Used inversion of control, aspect oriented programming to ease the development and create a loosely coupled system.• Exercised the practice of using object mapping framework (Dozer) to transform the objects in the multi-tier SOA architecture.• Educated the team to use design patterns to solve standard problems.• Engineered the development of business workflow to orchestrate the human tasks, external services, SCA components, business rules & adapters.• Planned, estimated and prioritized the effort involved to build the system and to incorporate the enhancements (Sprint Planning). Always met the SLA and excelled in delivery.• Conducted sprint review and sprint retrospective session.

Technology: J2EE, Struts, Hibernate, Oracle, PL/SQL, Tibco EMS, Jboss.Projects:Intranet Television (iTV): An intranet system that endows all Executives and Producers of a television program to record, manage & view all broadcasted shows of numerous TV channels.Accomplishments:• Revised the application architecture to a message driven approach and enhanced it as a distributed system and improved the scalability to support 17 NBC owned and operated broadcasting stations (from 60 to 3000 users).• Developed algorithms for encoder prioritization to record shows (Least Recently Used), for encoder failure retry mechanism to ensure efficient usage of encoder and reduce interruptions due to hardware failure.• Designed sequence diagrams, technical architecture diagram & business flow diagram and presented it to the stake holders.• Co-ordinated the development & deployment activities with a distributed team across 17 NBC network stations and excelled in the delivery.

Technology: J2EE, Struts, Hibernate, Oracle, PL/SQL, Jboss.Projects:BASIS: An application to track business affairs like network options and deadlines, provide financial abstracts of network license fees, talent fee, series license fees.Pilot Screening: A system to schedule, track, conduct survey / polling and rate the pilots (trailers) created for TV shows.Show & Music Tracker: A system to schedule, track & manage TV show, music from the production stage to on-air stage.Accomplishments:• Developed applications by adhering to software patterns to ensure robustness, high performance, scalability and maintainability. • Prepared UTPs, worked closely with quality team and delivered a defect free product with 98% FTR (First Time Right), 100% OTD (On Time Delivery).• Ensured that the CTQ (Critical to Quality) in the SLA is always met.• Trained team members in struts & hibernate framework which enabled an efficient development.• Facilitated production & end user support.