Open to software engineering opportunities

I build dependable full-stack products with applied AI.

I’m Majjiga Parthu, an M.Tech Computer Science & Engineering candidate and B.Tech IT graduate focused on React, FastAPI, Python, and production-minded AI systems.

Explore my work Start a conversation
3
verified full-stack demos
React + FastAPI
primary application stack
CI + Docker
production delivery workflow
Portrait of Majjiga Parthu

Based in IndiaAvailable for full-time and internship roles

About

Engineering across the product lifecycle.

I turn practical problems into usable software: responsive interfaces, validated APIs, persistent data models, tests, containerized deployments, and clear documentation.

My strongest work combines full-stack engineering with retrieval-augmented generation, document processing, and human-review workflows. I care about accessibility, secure defaults, failure states, and evidence-backed product claims—not just the happy-path demo.

Selected projects

Built, tested, and deployed.

View all repositories
01 Live

QualiTrace

An AI-assisted pharmaceutical complaint-management platform with traceable intake, review, investigation, CAPA, and audit workflows.

  • FastAPI and PostgreSQL API with strict validation and safe read-only demo controls
  • Responsive React workspace with loading, failure, review, and audit states
  • Docker, Render Blueprint, dependency auditing, and automated CI
  • React
  • FastAPI
  • PostgreSQL
  • LangGraph
  • Docker
Live demo Source code
02 Live

Grounded Ops RAG

A production-style retrieval and evaluation console for cited answers, corpus management, cost reporting, and auditable LLM judging.

  • Chroma-backed retrieval with deterministic no-secret local mode
  • React and TypeScript operations console with evaluation views
  • Automated backend, frontend, audit, and container checks
  • React
  • TypeScript
  • FastAPI
  • Chroma
  • RAG
Live demo Source code
03 Live

AI Research Assistant

A multi-user research workspace for PDF ingestion, hybrid search, citation-grounded Q&A, document comparison, and analytics.

  • Account and guest sessions with per-user document isolation
  • Page-aware LSA and BM25 retrieval with an optional LLM provider
  • Background processing, analytics, API docs, tests, and CI
  • React
  • TypeScript
  • FastAPI
  • SQLite
  • TensorFlow
Live demo Source code
04 Repository

Auto Data Cleanser

A Flask application for cleaning, profiling, visualizing, and exporting uploaded CSV datasets through a guided web workflow.

  • Missing-value, duplicate, column-name, and text normalization
  • Summary statistics, data previews, charts, and cleaned exports
  • A practical bridge between data workflows and web development
  • Python
  • Flask
  • Pandas
  • Matplotlib
Source code

Technical toolkit

Skills demonstrated in working projects.

Frontend

React, TypeScript, JavaScript, Vite, Redux Toolkit, semantic HTML, responsive CSS, accessibility

Backend

Python, FastAPI, Flask, Node.js, Express, REST APIs, authentication, validation, background tasks

Data & AI

PostgreSQL, SQLite, SQLAlchemy, Pandas, scikit-learn, TensorFlow, RAG, hybrid retrieval, LangGraph

Delivery & quality

Docker, GitHub Actions, Render, GitHub Pages, Pytest, Vitest, Ruff, dependency auditing

Education & learning

A strong computing foundation.

Postgraduate

M.Tech — Computer Science & Engineering

Advanced focus on software engineering, intelligent systems, and applied computing.

2021–2025

B.Tech — Information Technology

Vellore Institute of Technology, Vellore · GPA 7.77/10

Ethnus MERN Full Stack Google Cloud Computing Foundations British Airways Data Science Simulation

Let’s build something useful

Looking for a thoughtful early-career engineer?

I’m interested in full-stack, frontend, backend, Python/FastAPI, and AI-enabled software engineering roles.

majjigaparthu2004@gmail.com
LinkedIn GitHub