lavanitha - Overview

Mary Lavanitha Sunder

Software Development Engineer (SDE)
MERN Stack | GenAI | Cloud Systems

Focused on building scalable systems through full-stack engineering, AI integration, and cloud-native design.


About Me

  • Currently working on:
    AI-powered Full Stack Projects (MERN + GenAI)

  • Currently learning:
    Advanced Data Structures & Algorithms, Distributed Systems, Generative AI

  • Open to collaboration:
    Software Engineering Projects, Full-Stack Systems, AI / GenAI Applications

  • Seeking guidance in:
    System Design, Data Structures, Scalable Backend Architecture

  • Projects:
    https://github.com/lavanitha

  • Research & Writing:
    AI/ML-based Neurodegeneration Research Publication (In Progress)

  • Technical discussions:
    DSA, MERN Stack, Backend API Design, AI/ML Fundamentals, Cloud Migration (GCP)

  • Contact:
    lavanitha.officialdesk@gmail.com

  • Resume:

    📄 Resume

View My Resume


Professional Profiles


Technical Stack


📊 GitHub Statistics

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  1. SoleStyle is a modern, responsive e-commerce web application built with React + TypeScript + Vite, designed to deliver a smooth shopping experience with a sleek video hero section, optimized UI com…

    TypeScript

  2. NexoraFlow – AI-Powered Career & Skills Advisor NexoraFlow is a futuristic platform that empowers students and young professionals with personalized, AI-driven career guidance. It combines Skill DN…

    TypeScript 1

  3. Urban Pulse is an intelligent, agentic AI-powered city intelligence platform built for Google Cloud Agentic AI Day Hackathon. It transforms real-time multimodal urban data into predictive insights,…

    JavaScript

  4. An interactive AdTech Quiz web application built using Vite, React, and TypeScript as part of an internship project.

    TypeScript

  5. ChronoFlow is an interactive world clock with animated live wallpapers that change dynamically based on city and timezone.

    TypeScript

  6. AI-powered post-disaster infrastructure damage assessment platform using satellite imagery and deep learning (ChangeFormer with dual-encoder architecture). Built using the xView2 open-source disast…

    Python