
โThe best way to predict the future is to invent it.โโ Alan Kay
I'm passionate about Computer Science, with a strong interest in full-stack development and a growing curiosity for DevOps and modern technologies.
My expertise spans across the entire development lifecycle, from frontend architectures using React, Next.js, and TypeScript to backend systems with Node.js, Express, and Python. I focus on building RESTful APIs and implementing microservices architecture for scalable applications.
In the DevOps realm, I work extensively with containerization using Docker, orchestration with Kubernetes, and infrastructure as code using tools like Terraform. I'm experienced in setting up CI/CD pipelines with GitHub Actions and Jenkins for automated testing and deployment.
My work has also been recognized internationally โ I was selected as an International Finalist at IEEE YESIST12 (2025) MY, representing India at Universiti Kebangsaan Malaysia for sustainable tech innovation. I also won the Best Project Award at IEEE YESIST12 Prelims 2025.
I'm open to internship opportunities where I can collaborate, contribute, and continue learning in both development and DevOps.
C
C++
HTML5
CSS3
Bootstrap
JavaScript
TypeScript
TailwindCSS
Next.js
React
Node.js
Express.js
Socket.io
Python
React Native
Expo
MongoDB
MySQL
Prisma
Firebase
Docker
Kubernetes
Jenkins
Terraform
GitHub
GitHub Actions
Git
Bash
AWS
PostMan



Malaysia 2025
Selected to represent India at Universiti Kebangsaan Malaysia for innovation in sustainable technology. This prestigious international recognition highlights exceptional research capabilities and technological innovation that addresses global sustainability challenges.
Among the select few chosen to represent the entire nation on an international platform, demonstrating excellence in engineering research and sustainable technology development.
IEEE YESIST12 Prelims 2025
Won the Best Project Award at IEEE YESIST12 Prelims during the 'Kaushalya' Open House Expo 2025 for leading the groundbreaking project "Benchmarking YOLO version for Automatic Retail Checkout" at Nitte Meenakshi Institute of Technology.
Developed an innovative AI-powered retail automation system using YOLO object detection algorithms, revolutionizing checkout processes through computer vision and machine learning technologies.
