Green Testing: Smarter, Faster & Sustainable QA with AI | In person San Francisco Meet
Software testing plays a crucial role in delivering high-quality products - but it also comes with a growing environmental cost. Large enterprises routinely run 5,000–10,000 nightly test cases, consuming 12–24 hours, while weekly cycles often exceed 60,000 test cases, spanning multiple days.
Nearly 50% of testing resources are often spent on redundant or low-priority tests, leading to wasted compute, energy consumption, and unnecessary infrastructure load.
Green Testing represents a shift toward smarter, more sustainable testing practices. By integrating Artificial Intelligence (AI) into the testing lifecycle, organizations can analyze code changes, prioritize relevant test cases, eliminate redundant runs, and dramatically reduce resource consumption - all while maintaining or improving quality outcomes.
This approach not only cuts waste and speeds up releases, but also aligns tech organizations with global sustainability goals, proving that quality engineering and eco-conscious innovation can go hand in hand.
Date: 29th January 2026 (Thursday)
Time: 6:00 PM – 8:00 PM PST
Venue: 1631 N First St Suite 200
🎯 Session: Green Testing - Integrating Sustainability into Software Testing with AI
Speaker: Manoj Singhal, Software Engineer at Opaque Systems
Key Takeaways
What Green Testing is and why sustainability matters in modern QA
How AI makes testing faster, smarter, and more resource-efficient
How organizations can reduce testing waste, improve speed, and contribute to environmental responsibility
Why Green Testing is a win-win strategy for both business performance and the planet.
About the Speaker
Manoj Singhal is a Senior Member of IEEE with more than two decades of experience across leading technology companies including Symantec, IBM, HGST, and Cohesity. His expertise spans high-quality scalable system design, virtualization, cloud computing, distributed systems, and advanced data management.
A passionate advocate for Quality Engineering, AI, and innovation, Manoj is currently focused on integrating AI and Machine Learning into next-generation QA practices.
He holds a Master’s degree in Electrical Engineering from IIT Delhi and has been recognized for his patented innovations and research contributions at top-tier international conferences. He serves on review boards for prestigious journals and conferences, including:
IEEE Access
Journal of Emerging Technologies and Innovative Research (JETIR)
Journal of Computational and Cognitive Engineering (JCCE)
International Conference on Information Management & Machine Intelligence (ICIMMI)
Recently, he served as a Chairperson for a technical session at the International Conference Series Youth 2025 (“Netritva 4.0”) in Jaipur.
Manoj is deeply committed to mentoring the next generation of technologists, with a long-standing belief that technology should uplift lives through innovation, collaboration, and continuous learning.
Why You Should Attend
Learn how AI can drastically reduce test execution waste and speed up delivery
Explore real-world techniques to integrate sustainability into QA
Understand how Green Testing contributes to corporate ESG goals
Discover how smart test selection impacts cost, quality, and environmental impact
Connect with San Francisco’s QA, engineering, and tech community in our 6th city meetup
About The Test Tribe
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