Based on the latest 50 contributions and repos. Go deeper
About
Aravind is a full-stack developer who focuses on Next.js applications with JavaScript as their primary language. Contributed 20 merged pull requests to external repositories in the last year.
Insights
This Year
678
Commits
51
PRs
22
Issues
Most Active In
git-github.com-gmarav05-cpp
39
vanlife
33
memory-game
30
the-print-forge
26
Projects
50 originalclerk-auth
A minimal yet production-ready authentication app built with Clerk and Next.js 16, featuring out-of-the-box sign-in/sign-up flows, route protection via middleware, and the React Compiler for optimized rendering.
JavaScript
0
auth.js
A clean, full-stack authentication application built with Next.js 16 and Better Auth. Sign in with Google or GitHub using OAuth — powered by Prisma, PostgreSQL, and a modern session-based architecture for a secure, seamless experience.
JavaScript
0
drizzle
JavaScript
0
learning-prisma-orm
JavaScript
0
todo-app
A clean, full-stack todo application built with Next.js 16 and MongoDB. Create, complete, and delete todos with priority levels and real-time filtering — powered by Server Actions, TanStack Query, and Zustand for a modern, reactive experience.
JavaScript
0
tanstack-learning
CSS
0
Topics
reactvitereactjstailwindcssgamenextjsjavascriptreact-hooks
In Public Repos
JavaScriptHTMLCSSTypeScriptPython
Signals
20
External PRs merged
Languages
Jupyter Notebook13%
Python12%
TypeScript12%
JavaScript4%
Rust3%
Go2%
Skills
Technologies
Next.jsReactTypeScriptJavaScriptAPI RoutesServer Actions
Indicators
- •Builds production-ready applications using Next.js 16 with API Routes and Server Actions for full-stack functionality
- •Implements complete CRUD operations with real-time UI features including filtering and toast notifications
- •Integrates React optimization patterns including React Compiler for enhanced rendering performance
Coding Patterns
18 commitsBy Day
S
M
T
W
T
F
S
By Time (UTC)
12a
4a
8a
12p
4p
8p
Recent Interests
Jupyter NotebookRust
Interests
100Machine Learning & Data Science (Jupyter Notebook, Python)Data Engineering & MLOpsGSoC & Educational Resources
Recent Heavily focused on ML learning resources (Karpathy, Huyen, Aurélien Géron materials); curating data science and MLOps tooling
Forked
26Data Integration Platform
Forked multiple Debezium repos (core, platform, operator, Quarkus) indicating active engagement with change data capture systems
Educational & Sample Projects
Forked Student_Database_COSA and learning-focused repositories
Forks cluster around Debezium ecosystem (5+ repos) suggesting involvement in infrastructure/data pipeline work; secondary interest in educational materials
Working Styles
Exploration Focus
Execution Focus
Narrow Scope
Deeply technical and focused, delivering high-quality solutions and maintaining excellence in specific core areas.
Broad Scope
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