pre final year b.tech computer engineering student at nmims with a cgpa of 3.88 out of 4.0.
19 years old and actively building and shipping production grade software.
primary focus on backend systems, infrastructure, and automation.
hands on experience with android app development using modern architectural patterns.
comfortable owning frontend work when needed.
academic exposure to machine learning through published research.
a few systems i have built and operated in real environments.
designed to reduce manual effort in code quality and security workflows.
generates test cases and runs security scans on every push. integrates with github and deploys to aws. designed for reliability and minimal configuration.
focused on predictable deployments and operational clarity.
runs docker based builds with real time log streaming via websockets. built for teams who need consistent deployments without vendor lock in.
built to handle scale without increasing operational cost.
handles high volume image uploads with s3 storage and cdn distribution. focused on performance and cost efficiency.
how i think about building and maintaining software.
i build software that runs reliably in production. most of my work involves automation, predictable deployments, and systems that teams can depend on without constant intervention. i prefer clear abstractions and minimal complexity code that is easy to operate and extend.
tools and technologies i use regularly in production and side projects.
javascript (node.js), c++, python, java, sql.
node.js, express.js, rest apis, microservices.
aws ec2 and s3, docker, ci cd pipelines, github actions, git.
mongodb, postgresql, mysql, firestore.
react, tailwind css, modern css, performance focused ui development.
android development, mvvm architecture, retrofit, firebase, room database, google maps api.
python, convolutional neural networks, model training, experimentation, evaluation.
meta react advanced.
meta django framework.
technikwissen (impact factor 6.1)
co-authored a research paper on detecting brain tumors from medical scans using convolutional neural networks. worked on model training, experimentation, and evaluation.
open to interesting projects, internships, and thoughtful conversations.