Avik Chatterji
Avik Chatterji
Manager
Cognizant Technology
Avik Chatterji is a Manager at Cognizant with close to 15 years of expertise in Performance Engineering and Operational Resilience. He excels in designing and implementing performance assurance strategies across SAP, Cloud, and DevOps environments, with a strong emphasis on observability, automation, and resilience engineering.
Avik has successfully led Non-Functional Testing (NFT) programs across a wide range of industries, including Energy, Retail, Banking, Insurance, and Hospitality. He has architected and deployed robust performance testing frameworks using tools such as LoadRunner, JMeter, VSTS, Gatling, and Neoload. His cloud expertise spans AWS and Azure, where he has driven performance optimization and enhanced operational resilience for large-scale enterprise applications.
As a key contributor to digital transformation initiatives, Avik has enabled end-to-end observability using tools like OpenTelemetry and Grafana, and has streamlined processes through automated test data generation and incident management workflows.
He holds multiple industry-recognized certifications, including Microsoft GitHub Copilot, AWS Certified Cloud Practitioner, Microsoft Azure Fundamentals, Azure AI Fundamentals, and SRE certifications from Pluralsight and Gremlin. Recently, Avik participated in Cognizant’s AI Hackathon (Vibe Coding), which earned a place in the Guinness World Records for the highest number of participants in an online generative AI hackathon.
Avik’s blend of technical depth and leadership has been pivotal in delivering scalable, resilient, and high-performing systems for global clients.
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As AI systems become increasingly integral to our lives, their environmental and ethical impact can no longer be overlooked. This session on “Green AI – Non-Functional Testing for Sustainable and Responsible AI Systems” at #ATAGTR2025 will help to explore how testing can drive sustainability in AI. This session will equip you with actionable strategies to measure and reduce the carbon footprint of AI workloads, optimize models for energy efficiency, and ensure ethical AI deployment through fairness and transparency testing. Learn how to integrate sustainability KPIs into your CI/CD pipelines, leverage tools like CodeCarbon, SHAP, and Fairlearn, and make informed cloud deployment decisions that align with green IT goals. Whether you’re a tester, developer, or architect, this session offers a forward-thinking approach to building AI systems that are not only high-performing but also environmentally and socially responsible. Be part of the movement to make AI greener and more accountable.