Gaurav Suryavanshi

About

Hi, I’m Gaurav.

I’m an SDET in Pune. For 2+ years I have built and owned API test automation for large health-insurance claims systems — where a bug doesn’t just look wrong, it reaches somebody’s claim.

I’ve also worked as a backend developer — Node.js services, real-time chat, a chatbot. I still build: full apps, LLM tools and the live demos on this site. Building a thing is the best way to learn how to break it.

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Experience

The path so far.

  1. SDET

    Vidal Health TPA, Pune

    • Own the Java 17 + TestNG + Rest-Assured framework that tests health-insurance claims APIs.
    • Built a partner-integration regression suite of 190+ test cases, with schema and database checks.
    • Tuned TestNG for parallel runs — faster regression, steadier CI.
    • Tested database migrations, blue-green deploys and real-time (SSE) claim flows.

  2. Backend Automation Test Intern

    Bajaj Finserv Health

    • Built a microservice that turned HTTPS logs from the ELK stack into curl commands and ran them as tests.
    • Moved it from Node.js to NestJS for better speed and scale.

  3. Backend Developer Intern

    Esenceweb IT Solutions

    • Built Node.js / Express services with MongoDB and JWT auth.
    • Added real-time messaging with Socket.io and a Dialogflow chatbot.

  4. B.E. Computer Science

    PCCOER, Pune

    • CGPA 8.96 / 10.
    • Honours project: Wildlife Conservation Analysis (copyright-registered).

Skills

What I work with.

Grouped the way my résumé groups them.

Test automation

Rest-AssuredTestNGJUnitSeleniumPostmanBrunoContract & regression suitesData-driven & parallel runs

Languages

Java 17JavaScriptTypeScriptPythonSQL / PLSQLC++

Backend

Spring BootNode.jsExpressNestJSREST APIsSSEJWT authMicroservices

Databases

Oracle SQL / PLSQLMongoDBSQLiteQuery-level assertionsBlue-green validation

Tools & CI

GitGitHubDockerMavenCI/CDELKJSON / HAR tooling

Certificates

  • Introduction to Generative AI — Udemy
  • Introduction to Machine Learning — Coursera
  • Java — Udemy
  • Copyright: Wildlife Conservation and Analysis Using Machine Learning

Beyond testing

Things I build on my own.

Full-stack product

Connect to Nature

A farm-stay marketplace in English, Hindi and Marathi, with a farmer portal and a trip planner.

Automation + health

Rakta-Setu

Blood reports sent on WhatsApp in Marathi, with a voice page that explains each result.

Machine learning

Wildlife Conservation Analysis

YOLOv5 and Inception V3 to count animals and check species status. Copyright-registered.