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adarshbattu109/README.md

👋 Adarsh Battu

Principal QA Engineer · SDET · Automation Architect

14+ years transforming software quality across Automotive AI, FinTech, Rail Safety & Telecom

LinkedIn ISTQB Location Open To Work


🚀 What I Build

I don't just write tests — I build the infrastructure that makes quality inevitable.

At Cerence (Automotive AI), I architect end-to-end QA systems for LLM-based in-vehicle assistants shipped to major global OEMs. Before that: rail safety automation at Siemens, capital markets platforms at Morgan Stanley via Capgemini, and telecom operations at Vodafone via TCS.


⚡ Impact by the Numbers

🎯 Metric 📈 Result
Manual testing effort reduced 60%
Test coverage improved 80%
QA workflow efficiency gained 40%
Industries shipped to production 6+
Years of SDET & automation experience 14+

🧰 Tech Stack

Languages

Python Perl Shell SQL

Testing & Automation

PyTest API Testing ISTQB LLM Testing

Frameworks & Dev Tools

FastAPI Streamlit Docker Jenkins GitHub Actions

Data & Databases

Oracle MySQL MongoDB SQLite

Collaboration & ALM

JIRA GitLab Git Confluence


🏆 Flagship Projects

🔥 EMBER — In-House End-to-End Testing Framework

Solution Architect · Product Owner · Lead Developer

Designed and built a proprietary test automation framework from scratch, now used as the foundational QA infrastructure across Cerence's OEM delivery pipeline. Replaced fragmented manual processes with a unified, scalable engine — cutting regression cycles and driving consistent quality gates.


🚗 Cerence ChatPro — LLM In-Vehicle Infotainment QA

Test Lead & Manager

Test strategy and execution lead for an LLM-powered (ChatGPT-based) in-car assistant — one of the most complex QA domains in the automotive industry today. Managed multi-OEM delivery with AI response evaluation, safety-critical regression, and cross-functional stakeholder alignment.


🚆 ETCS — European Train Control System Automation

Test Professional · Siemens Technology

Migrated manual test suites to automated coverage for a safety-critical rail signalling system. Automated artifact creation, regression runs, and release processes — driving measurable reduction in manual overhead with zero compromise on traceability.


🌱 Currently Building

  • 📊 QA Dashboard — FastAPI + Streamlit app to visualise PyTest results and track test health over time
  • 🤖 LLM Test Evaluator — tool to score and compare LLM responses against expected outputs at scale
  • 🧪 AI Test Case Generator — input a feature spec, generate structured test cases in PyTest / Gherkin format

🏅 Recognition

Award Organisation Year
🥇 Winner's Circle — Process Innovation & Engineering Excellence Cerence 2023
⚡ Driver Spot Award — Exceptional Process Innovation Cerence 2023
🥈 Blockchain Hackathon — Runner Up Capgemini 2017
🌟 Customer Delight Award — Morgan Stanley Account Capgemini 2016
💎 TCS Gems (×2) — Service Commitment & Delivery Excellence TCS 2013, 2014

📌 Domain Experience

Automotive AI (LLM)   ████████████████████  Active
Rail Safety (ETCS)    ████████████████░░░░  3.5 yrs
Capital Markets       ████████████░░░░░░░░  3 yrs
Blockchain / DLT      ████████░░░░░░░░░░░░  1 yr
Telecom Operations    ████████░░░░░░░░░░░░  3 yrs

📫 Let's Connect

I'm always open to conversations about test architecture, LLM evaluation challenges, building QA tooling, or senior SDET / QA Architect opportunities.

LinkedIn Email


⭐ If any of my projects have been useful to you, a star goes a long way!

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