Python Automation Engineer | Test Automation Engineer | Open-source Enthusiast & Contributor
Last worked at ABB and relieved in May 2026 | Available for hiring | 6 years 6 months experience
Software engineering exposure across server, telecom, internet, entertainment, industrial automation
Working from Bengaluru, Karnataka, India | I enjoy networking, communities, research, learning, and experiments.

Test Automation Engineer with 6 years 6 months of experience across SDLC and STLC, with hands-on work across server, telecom, internet, entertainment, industrial automation domains. I specialize in Python-based automation, Selenium, Robot Framework, Pytest, REST API validation, functional testing, regression testing, test data preparation, defect triage, production-support workflows, Linux and Windows validation, Docker-based workflows, MQTT, SSH, and Salesforce ecosystem support.

I work comfortably with developers, QA teams, product owners, support engineers, business stakeholders, and Agile/Scrum delivery teams.

I am currently upgrading my career toward Playwright, AI-assisted testing, LLM workflows, RAG, prompt engineering, MCPs, AI agents, and practical automation tooling that connects QA, developer productivity, and open-source engineering.

• Open to hiring: Available for hiring and actively looking for new roles. Most recently worked at ABB as a Test Automation Engineer in Bengaluru, Karnataka, India, focused on industrial automation for edge gateway and automation products.
• Job search focus: Targeting QA Automation Engineer, Python Automation Engineer, Test Automation Engineer, SDET, AI-assisted QA Automation Engineer roles where I can apply automation framework development, API testing, UI automation, quality engineering, production support, test strategy, AI-assisted testing. Preferred locations: Bengaluru, India remote, hybrid roles in Karnataka, global remote roles.
• Domain focus: Interested in industrial automation, AI tooling, developer tools, SaaS, enterprise platforms, server and telecom platforms, internet and entertainment products.
• Currently learning: Playwright, AI-assisted testing, LLM workflows, RAG, prompt engineering, MCPs, AI agents, full-stack automation tooling.
• Current open-source focus: Contributing to AI agent and developer-tooling projects, with recent merged work in aaif-goose/goose and openhuman.
• Planned certifications: AccelQ, ISTQB, AI for QA, test automation, quality engineering focused credentials.
• Outside work: reading, research, networking with people and communities, learning new tools, experiments.

Verified public merged pull requests authored by sunilkumarvalmiki, refreshed daily with GitHub Actions.

• Continue contributing to AI agent tooling, especially aaif-goose/goose and openhuman.
• Look for focused issues in QA automation, Playwright, browser-extension tooling, developer productivity, and local-first AI products.
• Prioritize small, well-tested fixes that improve reliability, documentation, onboarding, and real user workflows.

• Maintainable automation suites for UI, API, regression, functional, and production-support testing.
• Strong QA engineering across test planning, test scripts, test data, defect triage, documentation, and release confidence.
• Practical debugging across web applications, APIs, Linux, Windows, Docker, MQTT, SSH, Salesforce, and connected systems.
• Experience across server, telecom, internet, entertainment, and industrial automation environments.
• A collaborative approach with developers, QA engineers, product owners, support engineers, business stakeholders, and communities.
• Open-source contribution discipline: small reproducible fixes, focused validation, clear documentation, and steady follow-through.

Daily activity snapshot generated on 2026-05-24 from public GitHub repository data.