Muditya Raghav
Open to full-time and freelance roles

Muditya Raghav

QA Automation Engineer + Full-Stack Developer

I combine a tester's skepticism with a developer's ownership. From API automation and CI/CD to production AI products, I build software that works, prove that it works, and help teams release it with confidence.

  • Production QA experience at Jio Platforms
  • Three live full-stack products
  • Security-aware engineering
Professional portrait of Muditya Raghav
Available for QA automation, SDET, software engineering, and product development work.
80+Automated test cases created with AI-assisted QA workflows
800+Tracked defects handled, including 35+ critical API issues
90%Reduction in repetitive QA time through Python automation
40%Increase in test coverage from focused automation work

What I bring

Quality thinking across the stack.

I can enter a project through the test suite, the API, or the product interface. That range helps me find risks earlier, communicate clearly with engineering teams, and take a feature from implementation through verification and release.

01

Automation that earns its place

Reliable UI and API checks, practical regression coverage, useful failure signals, and CI integration that speeds up delivery.

02

Developer-level debugging

Comfortable tracing issues across browser, network, backend, database, and deployment layers instead of stopping at reproduction steps.

03

Product ownership

Hands-on experience building complete applications with authentication, data pipelines, AI features, payments, testing, and production hosting.

Selected work

Live products, not mockups.

These projects show how I approach real product systems: useful workflows, multiple service layers, defensive engineering, and enough operational detail to run beyond a demo.

Malcom AI research workspace interface
Project 01 / AI research

Malcom

An AI research workspace for engineers and serious learners, with streamed responses, document context, web research with sources, saved chats, markdown and math rendering, feedback, account access, and Stripe-backed subscriptions.

Engineering focus: resilient model streaming, authentication, local and Supabase persistence, billing flows, health reporting, and production smoke checks.

Next.js TypeScript Supabase SQLite Stripe LLM streaming
Jini private document intelligence interface
Project 02 / Document intelligence

Jini

A local-first workspace that turns PDFs, spreadsheets, agreements, invoices, and other personal documents into searchable answers, cited evidence, extracted dates and amounts, reminders, and useful dashboard insights.

Engineering focus: multi-format extraction, ranked retrieval, optional Groq synthesis, secure cookie sessions, SQLite storage, rate limiting, Docker delivery, and 30 core unit tests.

React Express TypeScript SQLite Vitest Docker
Kingswork trading intelligence dashboard
Project 03 / Financial technology

Kingswork

A full-stack trading intelligence platform combining market dashboards, stock analysis, paper portfolios, backtesting, alerts, prediction markets, journaling, real-time updates, and AI-assisted research in one authenticated product.

Engineering focus: a multi-domain FastAPI backend, JWT authentication, WebSockets, portfolio and risk workflows, URL-driven React navigation, typed API integration, and payment-ready account controls.

FastAPI React TypeScript SQLAlchemy WebSockets Groq

Professional experience

Evidence over adjectives.

My experience spans enterprise QA, automation engineering, data validation, and offensive security. The consistent theme is reducing uncertainty before software reaches users.

Dec 2023 - Mar 2025

QA Associate Engineer

Reliance Jio Platforms, Hyderabad

  • Automated 80+ test cases using Automator AI and LLM-assisted workflows, increasing coverage by 40%.
  • Enhanced REST API suites and helped resolve 35+ critical bugs across more than 800 tracked issues.
  • Integrated test execution with Jenkins CI/CD pipelines, contributing to 20% faster releases.
Apr 2022 - Jun 2022

Software Engineer Intern

Persistent Systems, Remote

  • Automated Excel-based QA workflows with Python and Pandas, reducing repetitive test time by 90%.
  • Built a data validation engine capable of processing more than 10,000 rows in a test run.
Apr 2021 - Jul 2021

Cyber Security Intern

Cisco Network, Remote

  • Performed penetration testing across 3+ live web platforms using Burp Suite and Nmap.
  • Submitted three verified PayPal Bug Bounty reports through HackerOne.

Technical toolkit

Useful depth, broad context.

Strongest where quality engineering, APIs, automation, and full-stack product work meet.

QA automation

Selenium, Cypress, Playwright, Postman, REST API testing, regression design, test data, defect triage.

Languages

Python, JavaScript, TypeScript, SQL, HTML, CSS, and practical shell scripting on Linux.

Product engineering

React, Next.js, Express, FastAPI, Django, authentication, WebSockets, payment and AI integrations.

Data and delivery

SQLite, MongoDB, Pandas, Jenkins, Docker, CI/CD, Azure, Nginx, production health and smoke checks.

Security mindset

Burp Suite, Nmap, web security testing, secure sessions, rate limiting, validation, and defensive headers.

Communication

English proficient, Hindi native, German beginner. Comfortable working across QA, engineering, and product teams.

Academic foundation

Education and research.

A strong engineering foundation backed by applied research in computer vision and distributed payment systems.

B.Tech, Gyan Ganga Institute of Technology and Sciences

August 2019 - May 2023
CGPA: 9.02 / 10.0

Published research

AI-based low-light activity detection, July 2022.
REST-to-gRPC payment systems research, ResearchGate, March 2023.

Available for opportunities

Need someone who can test deeply and still ship?

I am currently exploring full-time QA, SDET, software engineering, and product development roles, as well as freelance projects where quality and delivery both matter.