Aayush Sharma

About Aayush Sharma

I graduated with a Master’s in Computer Science from Arizona State University and have a strong passion for Software Development, Cloud Computing, AI/ML, and DevOps Automation. With a solid foundation in programming and systems design, I focus on building scalable, efficient, and innovative solutions that enhance performance and user experience.I am currently working as a DevOps Engineer at Amazon Fulfillment Technologies & Robotics, where I design and implement automation frameworks that streamline AWS region migrations and improve service reliability. My work includes building AI-driven validation platforms, automating testing pipelines, and leveraging AWS services like Bedrock, Lambda, SQS, SNS, and Cognito to enhance platform resilience.Previously, I worked as a Cloud Engineer at Amazon Web Services (AWS), where I delivered scalable solutions for enterprise clients in AI, IoT, and mobile platforms. I focused on automation, infrastructure optimization, and integrating AWS Bedrock, Lambda, Connect, and IoT Core across high-availability systems to improve reliability and performance.Earlier in my career, I gained valuable experience as an Open Source Programs Intern at Spirent Communications and Application Developer at IBM India, contributing to cloud deployments, QA automation, and microservice-based architectures. I also interned at CSIR-CMERI and DRDO, developing blockchain-based IoT systems for secure data sharing—projects that strengthened my understanding of distributed systems, collaboration, and adaptive problem-solving.My technical expertise includes: Programming: Java, Python, C#, JavaScript, PHP Frontend: HTML5, CSS, React, Bootstrap, AJAX Backend: Flask, Node.js, MySQL, SQL Server, Firebase, Couchbase Cloud & DevOps: AWS (Bedrock, Lambda, SQS, SNS, Cognito, IoT Core), Azure, Docker, Kubernetes, CI/CD, GitHub Actions AI/ML: TensorFlow, OpenCV, RAG Systems, AWS Bedrock Agents, Google NLP APII’m passionate about combining cloud infrastructure, AI, and automation to solve real-world challenges. Open to connecting with professionals and exploring roles in Cloud Engineering, DevOps, AI Automation, and Software Development to drive impactful, large-scale projects. Portfolio: https://aayushsharma047.github.io

Experience

1. Devops Engineer

   Amazon

   Sep 2025 — Present · Bellevue, WA, US

   Architected AI-powered testing framework using Claude 3.5 Sonnet that automated test case generation, reducing manual effort by 90% through intelligent document processing and automated Playwright script generation.‣ Built end-to-end test automation infrastructure with 20+ production features including enterprise authentication, REST APIs, message queue integration, and real-time execution tracking with error recovery and CLI interfaces.‣ Designed scalable validation system with intelligent incremental processing that reduced validation time by 60% while enabling fleet-wide deployment consistency across different AWS Regions, monitored across 5 resource types.‣ Developed production-ready Amazon Bedrock Agent infrastructure using Agent Core Gateway with OAuth authentication, implementing complete lifecycle management through infrastructure-as-code including gateway deployment, agent provisioning, and secure connection orchestration with Cognito token management.

Education

• Arizona State University

  Master's degree, Computer Science

• Delhi Public School - India

  Higher Secondary School (Class-12)

• Bhilai Institute of Technology (BIT), Durg

  Bachelor of Technology - BTech, Computer Science and Engineering