Ayush Mehrotra

- Managed global team to deliver end-to-end ML (TPU) product portfolio, including development and scaling of the manufacturing/ supply chain for new TPU systems & related technologies (liquid cooling, power, optics). - Led business through ambiguities/risk of nascent technology, spending $XXB before product validation, geopolitical, supply issues, and NPI complexities in order to deliver peak exaflop capacity at product launch. - Developed global (APAC, North America) organization structure and executed advanced manufacturing/ supply chain strategies for launching next-generation TPU hardware in data centers. - Led headcount resource planning & approval for entire organization to support 2-3x growth in TPU NPI por olio.

- Led supply chain, operations & advanced Manufacturing for TPUv5 (TI next-gen ML) - Led over $xB+ spend, ops team of 30+, successfully managing across 14 NPI programs (50+ people), regular executive communications within and outside of org. - Led & developed operational strategies (supply chain, spend $, serving capacity) to scale ML infrastructure. - Formulated and presented strategies to SVPs, and VPs on investments required to scale operational capabilities for ML, which were presented to C-Suite for approvals.

- Lead Operations Program Manager for key Machine Learning and Accelerator programs: Cooling infrastructure solution for TPUv4, announced by Sundar at Google IO - Led the team to design and scale up supply chain of Liquid cooling infrastructure, from prototype to mass manufacturing in order to launch and scale the deployment of TPUv4 - Drove other high impact key initiatives within organization like: Liquid cooling multi-sourcing strategy, system capabilities to manage multiple suppliers and team website for internal communications. Lead Operations Program Manager for key Machine Learning infrastructure programs: TPUv5 and Superpod technology - Next Generation; Custom BGA solution for DeepMind, largest in industry; - Lead Ops PM for TPUv5 (TI next gen. ML): $xM+ spend, leading ops team of 30+, successfully managing across 14 NPI programs (50+ people), regular executive communications within and outside of org. - Drive business operation strategies (supply chain, spend $, serving capacity) to scale Google’s ML infrastructure footprint over generations.

• Part of company’s rotational leadership development program; gaining experience in project management, operations, business development and R&D • Managed a cross functional team located globally to launch a $15 million project to penetrate a new market; one of company’s top new product development project • Successfully implemented the first pilot project with company’s new NPD process to avoid scope creep, cost increase and project delay • Initiated project manual, tracking weekly actions matrix, project costs and timeline; chair weekly meetings with team, company’s president and other senior management located globally • Lead program/productions readiness for new product build from concept phase to launch; Developed a state of the art lean single piece flow assembly line by utilizing manufacturing engineering skills and working with suppliers, manufacturers • Collaborated with team to use DFMEA, PFMEA and 8D process to develop robust design, process and complete root cause analysis.

• Acquired diverse expertise and business knowledge by working in a cross functional role in engineering, manufacturing and supply chain department thereby improving problem solving and management skills • Evaluated manufacturing processes and requirement for fixtures, tooling by utilizing APQP tools and performing pre-production audits to improve productivity and quality of existing as well as new products • Led and trained a cross functional team of 5 people to implement total productive maintenance on a CNC manufacturing cell resulting in an OEE improvement of 50% • Led 5S and Kaizen projects to eliminate waste in Operations, Supply Chain departments: minimizing lead time and maximizing product reliability & quality • Managed part rationalization, SKUs reduction and part entry process for engineering as a part of Fix 8 initiative; Consequently, already reduced 20% of SKUs by data analysis • Designed and timely delivered new products using CAD tools such as SolidWorks to provide customer with an efficient tooling for their new press line • Developed complex BOO and BOM structures by utilizing MRP system for a successful release of products and optimized production flow

- Review engineering documents for manufacturability and prepare complex BOM structures for Cisco products - Create and generate ECO, part numbers, MCN for successful release of products - Identify cost avoidance and Value Engineering opportunities by interacting with mechanical design engineers and suppliers - Engaged in white labeling of existing products for penetration /growth in emerging markets. - Mitigate risk, reduce cost and develop multiple sources for mechanical commodities by working closely with contact manufacturers and suppliers. - Interact with people from various disciplines for project coordination and smooth flow of information

Grading Homeworks, Class Quizzes and Examinations of students in ME 481 (Manufacturing Process)

- Researched under Prof. Jyotiromoy Mazumder to control wetting properties of Aluminum surface in Lithium Aluminum battery by femtosecond laser-induced surface modification - Determined the dependence of wetting properties on scan speed and repetition rate of laser beam

- Increased productivity by 10% by designing fixture using SolidWorks to manufacture Speedbar connectors which simplified production process - Reduced maintenance time for Fortune 500 company by performing product validation; resulting in solution for use of venture in dusty climatic conditions - Consolidated and presented Value Added Value Engineering (VAVE) savings for four months illustrating company’s savings with use of new and improved processes - Conducted fatigue analysis on modified grippers to show increase in its lifecycle by 30% - Planned and allocated engineering resources for smooth flow of input and output processes by utilizing vantage - Applied ISO and engineering change processes to develop T-Bar to be used universally in all setups of client’s manufacturing plants

- Analyzed machine setup at production site using multiple activity charts consequently expediting fabrication time of transmission and overhead structures (like B series, ONR) by 14% - Prepared tensile and impact test report of specimens to analyze quality of raw material - Examined fabrication, welding, machining and galvanization of steel to learn functioning of manufacturing industry