Krish Puvvada
Product @ webAI
About
*Transforming enterprise operations through AI isn't just my profession—it's my passion.* As an AI Product Manager at Microsoft, I architect and deploy cutting-edge AI solutions that optimize data center operations at massive scale. My work directly impacts Microsoft's infrastructure efficiency, sustainability goals, and operational excellence across global data centers. What I bring to the table: Proven AI/ML Leadership: Led infrastructure projects at Meta that accelerated development cycles and enhanced system capabilities using neural networks and advanced ML models Enterprise Impact: At Bank of America, drove Agile transformation initiatives as Senior TPM/VP, improving product strategy execution across multiple business units Technical Depth: Software engineering foundation from Cisco and Juniper Networks, enabling me to bridge the gap between complex technical requirements and business outcomes Recent wins include: Developing AI-driven platforms that leverage telemetry data for advanced operational insights Implementing generative AI solutions for document information extraction, driving significant productivity gains Leading cross-functional teams to deliver seamless AI platform integrations I thrive at the intersection of cutting-edge technology and business strategy, turning complex AI/ML concepts into scalable products that deliver measurable impact. Whether it's optimizing power consumption through intelligent algorithms or deploying enterprise AI applications, I'm passionate about building solutions that shape the future of technology infrastructure. Ready to discuss how AI can transform your organization's operations? Let's connect.
United States
Austin
Computer Software
Product Management, Artificial Intelligence (AI), Machine Learning, Computer Science, Python, C, Data Structures, Java, SQL, Algorithms, Matlab, Programming, Linux, Eclipse, Data Analysis, Kintana, Software Development, Software Engineering, Operating Systems, C++
Experience

AI Product Manager
Austin, Texas, United States
AI Product Manager at Microsoft, I drive the implementation of cutting-edge AI solutions to optimize data center operations at scale. Focused on innovation and efficiency, I lead efforts to develop AI-driven platforms that enhance DC operations, ensuring they meet the highest standards of performance, sustainability, and scalability. In this role, I am responsible for architecting AI-based systems that leverage telemetry data to achieve advanced operational insights and optimize resource utilization, such as power consumption. Additionally, I oversee AI application deployment initiatives, including the integration of generative AI solutions for complex business use cases like document information extraction. My work involves aligning technology with business needs to deliver impactful, scalable solutions. Key areas of focus include: a) AI-Driven Optimization: Utilizing advanced telemetry data and AI/ML models to enhance efficiency and sustainability in data center operations. b) AI Application Deployment: Designing and implementing AI solutions that improve business processes, such as document analysis and information extraction, to drive productivity and value. c) Technical Leadership: Collaborating across engineering, product, and leadership teams to deliver seamless AI platform integration and drive forward-looking strategies. d) Strategic Growth: Strengthening partnerships and continuously advancing knowledge in emerging AI technologies to remain at the forefront of industry innovation. I am deeply committed to delivering innovative solutions that combine technical excellence with business impact. By building scalable, AI-powered platforms, I enable Microsoft’s mission to transform data center operations and empower organizations globally to achieve more. Through this work, I aim to contribute to shaping the future of AI-driven infrastructure, setting new standards in efficiency, sustainability, and operational effectiveness.

Software Engineering
• Performed preliminary testing (Smoke testing) intended to reveal simple failures severe enough to reject a prospective software release on Tornado MIC interfaces on Juniper routers • Automated the batch jobs that are run on the servers resulting in better server utilization and time optimization

Summer Intern
Bharat Dynamics Limited
Hyderabad Area, India
Development of trajectile simulation technologies for defense forces
Krish Puvvada's Contact Information
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