Senior Full Stack Engineer
Vijaya Laxmi
Building scalable web applications with modern technologies. Passionate about clean architecture, performance, and delivering great user experiences.
About
Senior Full Stack Engineer with 7+ years of experience building enterprise-grade web applications. Previously at Wayfair, QuillBot, and MIND. I specialize in React, TypeScript, Python, and cloud infrastructure — focusing on scalable systems that are a pleasure to use and maintain.
B.Tech in Computer Science from IIIT Una. I enjoy solving complex problems, mentoring engineers, and shipping products that make a real impact.
Projects
Every Second Counts — Chrome Extension
A Chrome extension that replaces your new tab with a live clock, reminding you that every second counts.
VyPlayer
A browser-based music player with reactive 3D visualizations. Search and play songs while choosing from 9 themed WebGL "vibes" — each scene responds to the music's frequency and amplitude in real time. Ranges from retro (Winamp, Cassette) to atmospheric (Cosmic, Rain, Flowery).
Vijaya's Kitchen
A personal recipe site with a vintage zine-inspired design. Features a recipe collection, photo gallery with lightbox, and live search — built entirely with Astro content collections and vanilla CSS. Zero JS frameworks, all static.
Be My Valentine
An interactive Valentine's Day message generator. Fill in details and share a personalized link with your special someone.
Interview Prep
A searchable knowledge base for interview preparation with organized topics and sidebar navigation.
Every Second Counts — Clock
An interactive analog clock with animated hands and an optional ticking sound effect.
Vyne
A minimal, ready-to-use Next.js starter template with best practices — perfect for quick project setups.
Vyre
A modern, scalable Next.js frontend starter with SEO-friendly routing, responsive design, and easy extensibility.
Daily Quotes
Displays a different inspirational quote each day with a matching background image, selected by hashing the current date.
C-Sign
Android application for verifying user identity using digital signatures and two-factor authentication. Built during internship at CDAC.
Sentiment Analysis
Final year project analyzing sentiment from text data using machine learning techniques. Classifies text as positive, negative, or neutral.
Contact
Interested in working together? Get in touch.