AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cloud AI & Infrastructure | Edge AI & Compute Devices | Physical AI (Automotive & Robotics)
Multi-disciplinary experience with roles spanning across different facets of organization ranging from- SoC Architecture, Systems Engineering/Design for AI Infrastructure, Automotive IVI and ADAS Solution Architecture, Software Development; Technical Product Management, Go-To-Market, Strategy & Analysis, Business Development including P&L ownership. Experience includes building a Cloud-to-Edge software services business at AWS for Edge AI /Computer Vision. • Experience includes Chipset, Hardware Platform & Software Product Management including Roadmap Planning, Strategy, Pricing, Feature Prioritization, and driving Go-To-Market motions. • Experience includes leading ASICs and AI Accelerator - Architecture, Technology Strategy & Roadmap, Product Management, Go-To-Market, and Ecosystem development including Software Architecture/Frameworks/Toolchain for AI across Datacenter and Edge. • Experience includes Technology Product Management for Cloud-Edge SDK, Artificial Intelligence Hardware accelerators & Edge Compute Products e.g. Augmented Reality as well as AI applications with virtualization and container support. • Experience includes leading ASICs and AI Accelerator - Architecture, Functional Safety, Security, Chiplet Architecture, Performance Benchmarking for IVI & ADAS workloads for Automotive Silicon catering to IVI, ADAS and Central Compute Architecture. • Experience includes managing Products & Partnerships across various Mobile/Compute OS viz Windows 10, Chrome and Android as well as Internet of Things OS viz Android Things, Wear OS by Google, Windows 10 IOT, Linux, ThreadX/FreeRTOS. • Experience includes leading cross functional Embedded Software Engineering teams for enabling Windows 10 and Chrome OS on ARM including design, architecture and device commercialization. • Experience managing partners viz ISVs, Infrastructure vendors as well a
University of Massachusetts Lowell
MS, Electrical ( Telecommunications)
January 1, 2006 – January 1, 2007
South Gujarat University
BE, Electronics and Telecommunications
January 1, 1999 – January 1, 2003
Arm
Sr Director - Products & Platforms, Physical AI
November 1, 2024 – Present
San Diego Metropolitan Area · On-site
Microsoft
PM Lead
August 1, 2024 – November 1, 2024
San Diego Metropolitan Area · Remote
Intel Corporation
Sr Director Product Management - Datacenter GPU & AI Accelerators
January 1, 2023 – July 1, 2024
San Diego, California, United States
Intel Corporation
Sr Director - Technology & Architecture for Xeon/CPU Cores.
January 1, 2022 – December 1, 2022
San Diego, California, United States
Qualcomm
Strategic Partnerships & New Business Developmment
January 1, 2021 – January 1, 2022
San Diego, California, United States
Amazon Web Services (AWS)
Product Management Leader- Edge AI & Computer Vision
January 1, 2020 – January 1, 2021
Palo Alto, California, United States
Qualcomm
Director Product Management - Compute Products
January 1, 2018 – January 1, 2020
San Diego, California, United States
Qualcomm
Staff Product Manager -IOT Products
January 1, 2016 – January 1, 2018
San Diego, California, United States
Qualcomm
Sr Staff Engineer/Manager - Software Products & Platforms
January 1, 2008 – January 1, 2016
San Diego, California, United States
Airvana
Software Systems Engineer
January 1, 2006 – January 1, 2007
Boston, Massachusetts, United States
Wipro Limited
Senior Software Engineer
January 1, 2005 – January 1, 2006
Pune District, Maharashtra, India
Reliance Communications
Assistant Manager - Network Planning & Engineering
January 1, 2003 – January 1, 2005
Navi Mumbai, Maharashtra, India
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on cutting-edge technologies (AI, IoT, Edge Compute, XR) and a history of driving innovation and new business initiatives. Their experience across diverse product lines and companies demonstrates adaptability and a proactive approach to technology evolution. The target role of 'IoT Engineer' aligns well with their past experience in IoT Product Management and Edge AI, suggesting a strong interest and foundational knowledge in the domain, although their recent roles are more strategic/product management than hands-on engineering.
Soft Skills & Operational Fit
The candidate's extensive experience in product leadership roles at major technology companies suggests strong strategic thinking, cross-functional leadership, and business acumen. The descriptions highlight abilities in managing P&L, supply chain, and Go-To-Market strategies, indicating a robust operational fit for senior leadership roles. While direct evidence of 'soft skills' like collaboration or stress handling is not explicitly provided, the nature of their roles implies strong communication and negotiation skills.