Durga Peddireddy
About Durga Peddireddy
Durga Peddireddy serves as the Vice President of Product Management and Strategic Partnerships at SiMa.ai, where he has been since 2023. He has extensive experience in product management and marketing across various technology sectors, including AI, IoT, and computer vision.
Current Role at SiMa.ai
Durga Peddireddy serves as the Vice President of Product Management & Strategic Partnerships at SiMa.ai, a position he has held since 2023. In this role, he focuses on developing strategic partnerships and managing product initiatives that align with the company's vision in Edge AI and related technologies.
Previous Experience at SiMa.ai
Prior to his current role, Durga Peddireddy worked at SiMa.ai as the Vice President of Applications and Products from 2022 to 2023. During his tenure, he contributed to the development and launch of innovative applications and products, enhancing the company's offerings in the AI space.
Professional Background
Durga Peddireddy has held various significant roles in the technology sector. He worked at NVIDIA as the Head of Partners Ecosystem & Camera Solutions for Autonomous Machines from 2018 to 2022. His earlier positions include Director of Product Management & Business Development at FotoNation and Sr. Product Marketing/Business Development Manager at OmniVision Technologies, among others.
Education and Expertise
Durga Peddireddy holds a Bachelor of Science in Electronics & Telecommunication Engineering from Acharya Nagarjuna University. He also completed an MBA as part of the NU-MBA program at NEOMA Business School and the D'Amore-McKim School of Business at Northeastern University. His expertise includes Edge AI, data-driven decision-making, and Agile/Scrum methodologies.
Achievements in Product Management
Durga Peddireddy has a proven track record in product management, having executed strategic initiatives that take products from concept to launch. He has extensive experience in managing cross-functional global teams and leading product strategies, particularly in vision-based systems involving AI, Deep Learning, and Computer Vision.