Software Development Manager
CurrentLeading multiple high-impact teams across AWS, overseeing critical initiatives in SDK development, systems management, and operational security. Driving innovation and efficiency in large-scale service development and delivery. Key Achievements: + Spearheaded a data lake project leveraging Machine Learning, reducing mean time to resolution for operational events by 20% + Achieved 99% patch compliance rate across AWS, impacting over 5000 team members + Reduced Amazon Alexa SDK new feature costs by 85% through innovative code generation + Led the launch of new Alexa SDKs, contributing to 8500+ new skills within three months + Implemented a release automation system, reducing AWS SDK release costs by 80% + Enhanced API review processes for public AWS Services, ensuring consistency and compliance with company-wide standards Recently launched a strategic initiative to develop an AI safety framework for Amazon's Model Context Protocol (MCP) servers (03/2025 - Present). Though in its early stages, this project represents cutting-edge work in responsible AI adoption: • Designing comprehensive testing frameworks for MCP servers to ensure reliability and compliance • Developing analysis tools using LLM inference and operational data to identify risks in real-time • Implementing human-in-the-loop mechanisms for compliance and safety-critical operations • Creating monitoring systems for AI-augmented operations This initiative builds upon my several years of experience working with AI technologies and positions our team at the forefront of responsible AI integration.
