About
I’m a Principal Data & AI/ML Platform Engineer and Cloud Architect with 9+ years of experience designing large-scale, AI-driven data ecosystems across fintech, retail analytics, and global cloud platforms. My work focuses on building AI-ready, cloud-native infrastructures that process 100M+ real-time events per day, enabling predictive intelligence, automated decisioning, and enterprise-wide data governance. I’ve led transformations that generated $2.5M+ in annual revenue uplift, reduced cloud spend by 25%, and accelerated model deployment cycles from weeks to hours.
Chandrakanth Lekkala
Published content
expert panel
As artificial intelligence continues its rapid advance—from foundational models to enterprise-scale deployments—questions about sustainability are taking on new urgency. While much of the discourse has centered on the carbon footprint of data centers and model training, sustainable AI must also address long-term economic, labor and societal impacts: How will value from AI be shared? Who bears the downstream risks? Well-designed systems matter not only for performance, but also for fairness, trust and longevity. The Senior Executive AI Think Tank brings together seasoned experts in machine learning, generative AI and enterprise AI applications who offer deep insight into these challenges and opportunities. Below, they explore what truly sustainable AI looks like—beyond energy metrics—and who should be accountable.
Company details
Narwal.ai
Company bio
Narwal is a specialized technology services company focused on AI, Data, and Quality Engineering. We help enterprises modernize their digital ecosystems by building intelligent, cloud-native platforms that accelerate innovation, reduce operational complexity, and unlock business value from data. With a global team of engineers, architects, and AI practitioners, Narwal partners with Fortune 500 organizations across fintech, retail, healthcare, and manufacturing. Our expertise spans data modernization, MLOps, automation, cloud migration, and enterprise AI adoption—delivered through a customer-first, outcomes-driven model.