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kavya608/README.md

Hi there πŸ‘‹, I'm G. M. Kavya

Software Developer | Full-Stack Developer | React | Python | Flask | SQL

I'm a Software Developer passionate about building scalable web applications using React, Python, Flask, and SQL. I enjoy solving real-world problems by developing responsive frontends, robust REST APIs, and AI-powered applications with clean, maintainable code.

Currently expanding my skills in Data Structures & Algorithms, System Design, FastAPI, Docker, AWS, and AI Engineering.


πŸ’Ό Professional Experience

Software Engineer | Accolite Digital

Apr 2022 – Jul 2023

  • Developed and maintained internal web applications using React, HTML, CSS, and JavaScript.
  • Collaborated with cross-functional teams to build new features, improve UI responsiveness, and resolve production issues.
  • Participated in debugging, testing, and delivering reliable software solutions.

πŸš€ Featured Projects

πŸ“§ AI Email Intelligence Platform

A production-ready full-stack email intelligence platform built using React, Flask, and classical NLP that transforms raw emails into structured, actionable insights.

Key Features

  • Email intent classification
  • Priority scoring
  • NLP-based email summarization
  • Named Entity Recognition (People, Organizations, Dates, Locations, Money)
  • Action item and deadline extraction
  • Spam detection
  • Context-aware reply suggestions
  • Search, filtering, sorting & pagination
  • Interactive analytics dashboard
  • RESTful API architecture
  • Full-stack deployment using Render and Vercel

Tech Stack

  • Frontend: React, Vite, Axios, React Router, CSS
  • Backend: Python, Flask, Flask-SQLAlchemy, Pydantic
  • AI / NLP: spaCy, Scikit-learn, TF-IDF, python-dateutil
  • Database: SQLite

πŸ”— Repository: https://github.com/kavya608/ai-email-intelligence-platform

🌐 Live Demo: https://ai-email-intelligence-platform.vercel.app


πŸ“Š Job Market Intelligence Pipeline

An end-to-end data engineering project that automates job data collection, cleaning, storage, and analysis to identify hiring trends, salary insights, and in-demand technical skills.

Key Features

  • Automated job data collection
  • ETL pipeline
  • Data cleaning & preprocessing
  • SQL database integration
  • Hiring trend analysis
  • Salary insights
  • Interactive data analysis

Tech Stack

Python β€’ SQL β€’ Pandas β€’ ETL β€’ Data Analysis


πŸ›  Technical Skills

Frontend

  • React
  • JavaScript (ES6+)
  • HTML5
  • CSS3
  • Axios

Backend

  • Python
  • Flask
  • REST APIs
  • SQLAlchemy

Database

  • SQL
  • SQLite
  • SQL Server

AI / NLP

  • spaCy
  • Scikit-learn
  • TF-IDF
  • Pydantic

Tools

  • Git
  • GitHub
  • VS Code
  • Postman
  • Render
  • Vercel

🌱 Currently Learning

  • Data Structures & Algorithms
  • System Design
  • FastAPI
  • Docker
  • AWS Cloud
  • AI Engineering

🎯 Areas of Interest

  • Full-Stack Development
  • Frontend Engineering
  • Backend API Development
  • AI-powered Applications
  • Data Engineering
  • Automation Tools

🀝 Connect With Me

LinkedIn

GitHub


⭐ Building software that combines clean engineering, practical AI, and intuitive user experiences.

Pinned Loading

  1. ai-email-intelligence-platform ai-email-intelligence-platform Public

    AI-powered email intelligence platform using React, Flask, and NLP for classification, summarization, entity extraction, and analytics.

    Python

  2. fintech-fraud-detection-sql fintech-fraud-detection-sql Public

    SQL Server fraud detection system using window functions, self-joins, and statistical anomaly detection on the PaySim dataset and enriched data

    TSQL

  3. job-market-intelligence-pipeline job-market-intelligence-pipeline Public

    An end-to-end data pipeline that pulls live job postings from the Adzuna API, cleans them with Pandas, and loads them incrementally into SQL Server to analyze in-demand skills, salary trends, and h…

    Python

  4. kavya608 kavya608 Public