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Software Engineer & Cloud Architect
I turn ambitious ideas into production-ready solutions. USC Masters graduate with AWS experience, seeking the next challenge to build systems that inspire.
About Me
Software Engineer & Cloud Architect
What I Bring to the Table
Im a recent Masters graduate in Engineering Management from the University of Southern California (USC) with a minor in Business Analytics. My academic journey began at Maharashtra Institute of Technology where I graduated with a 3.97/4.0 GPA, establishing a strong foundation in electrical and computer engineering.
What sets me apart is the combination of my technical expertise and real-world experience at Amazon Web Services. During my internship with the Lambda Frontend invoke team in Seattle, I worked on production systems that handle millions of requests. This experience gave me firsthand exposure to enterprise-scale software development and the importance of building systems that are not just functional, but optimized for performance and reliability.
My passion lies at the intersection of cloud architecture and AI integration. Whether its designing serverless solutions that achieve microsecond-level latency or building full-stack applications powered by GPT and vector search, I thrive on solving complex problems. I believe the best engineers are those who can bridge the gap between technical excellence and user experience, creating solutions that are both powerful and intuitive.
Im now seeking my next opportunity to bring my skills in cloud architecture, full-stack development, and AI integration to a team where I can make meaningful contributions and continue growing as an engineer.
Key Highlights
Academic Excellence
3.97/4.0 undergraduate GPA and 3.9/4.0 Masters GPA from USC, demonstrating consistent commitment to learning and growth.
Industry Experience
Hands-on experience at AWS Lambda team in Seattle, working on production systems that serve millions of users globally.
Core Skills
Java, Python, AWS (Lambda, DynamoDB, S3, EC2), Spring Boot, Docker, Kubernetes, Terraform, Microservices, Distributed Systems, and System Design expertise.
Core Competencies
Cloud Architecture
Scalable, fault-tolerant systems
Full Stack Development
End-to-end applications with modern frameworks
AWS & Serverless
Cloud solutions improving performance by 35%
AI Integration
GPT-powered applications with vector search