Headline

Cloud Engineer | AWS | DevOps | Python | SQL | Docker | FastAPI | Lambda | EC2 | Aspiring Data Analyst | Data Analytics

About

Building cloud solutions today while growing into data-driven problem solving tomorrow. I'm a Computer Science graduate specializing in Cloud Computing & Automation, with hands-on experience building cloud-native applications using AWS, Python, Docker, FastAPI, and serverless technologies. I enjoy solving real-world problems through technology, whether it's designing scalable backend systems, automating workflows, or transforming raw data into meaningful insights. Through internships at Vecros Technology and F13 Technologies, I've built REST APIs, worked with AWS Lambda, API Gateway, CloudWatch, DynamoDB, Rekognition, and containerized environments using Docker. My projects include a serverless email automation platform and a containerized cloud REST API deployed on AWS. Along the way, I've helped automate processes, improve operational efficiency, and build reliable cloud solutions. I'm also expanding my expertise in SQL, analytics, and business intelligence to strengthen my ability to work with both systems and data. Currently, I'm seeking opportunities in Cloud Engineering, DevOps, and Data Analytics where I can continue learning, contribute to impactful projects, and grow alongside talented teams. I'm passionate about cloud technologies, automation, and using data to drive better decisions—and I'm excited to build at the intersection of all three. Let's connect and create something meaningful.

Location

India

AI stack

antigravity

codex

cursor

Work experience

AWS Intern at VECROS, Feb 2026 - Mar 2026 · 2 mos, Bengaluru, Karnataka, India, • Built and deployed serverless backend services for a Warehouse Management System (WMS) using AWS Lambda and API Gateway, enabling scalable CRUD operations across projects, audits, locations, and user workflows. • Improved application reliability and observability by monitoring, debugging, and optimizing serverless workloads using AWS CloudWatch, accelerating issue detection and performance tracking. • Developed backend modules with FastAPI and streamlined development workflows using Docker, Git, and GitLab, enabling efficient collaboration and environment consistency across the team. • Contributed to cloud-native application development by integrating AWS services and backend APIs to support scalable and maintainable business operations.

AWS Cloud Intern at F13 Technologies, Jul 2025 - Oct 2025 · 4 mos, Remote, • Architected a real-time facial recognition attendance system using AWS Rekognition, Lambda, S3, and DynamoDB, reducing manual attendance tracking effort by approximately 90%. • Designed and implemented a fully serverless, event-driven architecture that automated image processing, attendance recording, and data storage workflows. • Strengthened cloud security by creating and enforcing IAM policies and access controls, ensuring least-privilege access across AWS services and improving operational security. • Collaborated on cloud solution design and deployment, leveraging AWS best practices for scalability, reliability, and maintainability.

Education

Bachelor of Technology, Computer Engineering, Vellore Institute of Technology