• Drive revenue, adoption, and growth for ISV customers.• Collaborate with senior executive leaders and cloud architects to design and implement advanced cloud-based solutions.• Lead the development and execution of technology strategies, with a focus on Cloud Strategy and Operations, Security, Data and GenAI-AI/ML solutions.• Partner with AWS teams to craft scalable, flexible, and resilient cloud architectures.• Advocate for cloud best practices and the adoption of AWS services, contributing to customer satisfaction and revenue growth.• Engage in deep-dive technical discussions, leveraging expertise in large-scale computing and enterprise technology.• Contribute to the Solutions Architecture community by sharing best practices, generating technical content, and participating in hiring activities and mentorship.

• Lead technical teams to accelerate customers' GenAI Cloud Journeys from ideation to production, focusing on building strategic relationships with customers and partners.• Provide expert guidance on technology and business strategies, recommending investments and crafting technical architectures for generative AI implementations.• Manage the development of cutting-edge AI/ML solutions, ensuring high standards of engagement quality and successful outcomes for customers.• Assess and optimize system architectures, identify potential risks, and capitalize on opportunities for incorporating generative AI technologies.• Align with AWS roadmaps, create impactful technical content, and drive innovation within the Generative AI Innovation Center.

• Direct technical teams to meet business objectives and foster strategic relationships.• Advise customers on technology strategy, investment, and architecture.• Create impactful solutions for customer operations, ensuring high-quality engagement.• Assess system architectures, identify risks, and capitalize on sales opportunities.• Align with Amazon roadmaps, produce technical content, and drive organizational innovation.

• Focused on facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation.• Leading multi-disciplinary engineering teams focused on delivering infrastructure, automation and highly-available / fault-tolerant enterprise-grade level solutions by leveraging industry best practices.

• Lead engineering technical teams - Focus on product lifecycle from ideation and design through technical development, to launch.• Define product scope, capabilities and KPI's.• Build and maintain a platform backlog and roadmap.• Work with Security and Infrastructure teams to successful delivery of features, automations and capabilities.• Work closely with customers to identify needs and new requirements.

Involved in software development and network architecture tasks within the Network Security Team, developing a large-scale, distributed platform for automations, with strong dynamic scaling and configuration, security and policy management, together with robustness and fault tolerance capabilities.• Improving the availability, scalability, and operational efficiency of software services.• Building automations to prevent problem recurrence with the goal of automating response to all non-exceptional service conditions.• Influencing new designs, architectures, and methods for large-scale distributed systems.

I worked on doing research focusing on enhancing security protocols for Wireless Sensor Networks for Internet of Things (IoT) applications. My research was part of a specialized laboratory dedicated to developing high-performance, energy-efficient computing platforms. My lab research tackled complex computational challenges in signal and image processing, machine vision, autonomous navigation, system-on-chip designs, ultrasonic imaging, and high-performance application-specific computing systems.

Worked as part of a team focused on the implementation of a big data Cloud Platform tailored for corporate management needs. This engagement involved architecting and deploying a scalable, efficient system to handle large volumes of data, enabling streamlined corporate operations and informed decision-making.