Jan 2024 – Jan 2026 · 2 yrs · Mountain View, California, United States

• Headed the strategic direction and execution of Generative AI and Agentic AI initiatives, including Model Context Protocol (MCP) and Autonomous Agents, transforming Microsoft Marketing through advanced content generation, personalization, and user experience optimization.
• Collaborated with executive leadership to define and align AI and AgenticOps strategies with organizational goals, driving innovation, partnerships, and scalable adoption of LLM Orchestration and Agent Frameworks.
• Directed the design and deployment of scalable AI and multi-agent platforms, integrating ethical AI practices, multi-agent orchestration, and real-world business applications to deliver measurable marketing impact.
• Led a cross-functional team of product managers and engineers to build and operationalize Generative AI and Agentic capabilities, enabling autonomous workflows, intelligent decision-making, and adaptive strategies to significantly improve marketing efficiency

Dec 2023 – Present · 2 yrs 3 mos · Hybrid

• Faculty for Mini MBA: Artificial Intelligence

Sep 2021 – Dec 2023 · 2 yrs 3 mos · Hybrid

• Faculty for Mini MBA: Data driven management
• Course: https://www.business.rutgers.edu/executive-education/data-driven-management
• Instructor profile: https://www.business.rutgers.edu/faculty/nitin-aggarwal

Jan 2021 – Jan 2024 · 3 yrs

• 1. Led Generative AI Portfolio: Directed the creation and delivery of cutting-edge AI solutions, products, and offerings, driving an estimated XXX million USD for key cloud customers
• 2. Built and Scaled High-Performing Teams: Built and led a multidisciplinary team of senior technical PMs and AI/SW engineers, defining a strategic vision and leading the development of custom LLMs for Google Cloud Platform (GCP) customers. Established and scaled an AI practice from the ground up in India, generating a significant business impact of XX million USD.
• 3. Pioneered LLMOps/GenAIOps Frameworks: Defined and executed a comprehensive roadmap for LLMOps and GenAIOps, including strategies for evaluation, testing, deployment, and management, ensuring seamless integration for GCP customers
• 4. Influential Thought Leader and Collaborator: Represented Google at major industry conferences (e.g., ACM KDD, NeurIPS), advised AI startups on product strategy, and collaborated with cross-functional teams to address the needs of Google Cloud’s strategic customers

Jan 2018 – Jan 2021 · 3 yrs

• 1. Leadership in AI Solutions for Strategic Customers: Led the development and delivery of advanced AI/ML products on Google Cloud Platform (GCP) for Fortune 100 companies, focusing on Vision, Natural Language, and other cutting-edge technologies.
• 2. Architectural Design and Strategy: Designed technical architecture, conducted code reviews, and developed comprehensive solutions, while translating complex customer requirements into effective end-to-end solution architectures in collaboration with sales, partner leads, and technical stakeholders.
• 3. Executive Collaboration and Business Transformation: Managed relationships with customer technical leads and CXOs of Fortune 500 companies, overseeing successful cloud migrations and presenting Monthly Business Reviews (MBRs) to drive decision-making. Led business transformation initiatives that delivered an annual run rate of XX million USD and converted into XXX million USD in annual savings for customers.
• 4. Team Leadership and Thought Leadership: Directed a team of 20+ ML engineers, Data Engineers, and Program Managers, and represented Google as a public speaker at international conferences, establishing a reputation as a thought leader in AI.

Jan 2016 – Jan 2018 · 2 yrs

• 1. Product Lifecycle Prediction and Value Optimization: Developed solutions to predict product lifecycle stages and customer acquisition, resulting in a 120% increase in product lifetime value and total incoming volume.
• 2. Global Project Leadership and Customer Experience Enhancement: Managed 100+ team members across five global locations to improve customer experience for a major Google product, achieving over a 300% improvement in SLAs and key metrics.
• 3. AI-Driven Risk Management and Trend Analysis: Created an ML model for image classification to prevent policy violations, successfully blocking over 100 million bad impressions. Conducted text mining and semantic analysis to predict global behavior patterns and trends for products in their initial phase.
• 4. Technical Expertise in ML and AI: Led the development and launch strategy for new horizontal solutions. Hands-on experience with ML models like XGBoost, CatBoost, and deep learning models (CNN, DNN, RNN) using Python.

Jan 2015 – Jan 2016 · 1 yr · Noida Area, India

• 1. Healthcare Modeling for Claims Optimization: Developed unsupervised models for claims overpayment detection and outlier identification using clustering techniques, driving accuracy improvements for a major US healthcare giant.
• 2. Customer Service Modernization: Enhanced customer experience and satisfaction by implementing Text Mining and Association Rules Mining to optimize First Call Resolution (FCR) and reduce average Total Response Time (TRT) by 40%.
• 3. Strategic Team Leadership: Managed and motivated a team of Data Scientists to deliver complex projects for strategic customers, overseeing performance calibration, career development, and project success.
• 4. AI-Driven Insights for Customer Satisfaction: Utilized advanced text mining to categorize feedback and predict customer needs, significantly improving CSAT scores and operational efficiency.

May 2014 – Jul 2014 · 2 mos · Bangalore

• Associated with Strategy & Innovation division of BipBop department and worked to identify various business models available for "Smart DC micro off-Grid solutions". My work was to first understand the product including its technicalities of it and then study about the different business models available in that segment including what are the different marketing strategies companies used, What are the various investment methods etc. and then, propose a model that may work well as per our requirements.
• Earned Six sigma yellow belt and "Energy management associate (EMA)" certification.

Jan 2011 – Jan 2013 · 2 yrs · New Delhi

• 1. Full-Stack Software and Web Development: Developed software and web applications using C#.NET, HTML, JavaScript, and JQuery, delivering robust solutions to meet client needs.
• 2. Data Analysis and Algorithm Development: Analyzed trends and patterns using SQL, VBA (Excel Macros), and R to create predictive algorithms and simulations, enhancing decision-making capabilities.
• 3. Team Leadership and Client Collaboration: Led a team of three in requirement analysis and solution design, collaborating closely with the sales team to incorporate feedback and document technical specifications using MS-PowerPoint and MS-Visio.