Summary
Kingsly Rajasekar is a seasoned AI and cloud engineering leader with over a decade of experience turning high-stakes financial and regulated-enterprise problems into secure, scalable production systems. Currently Head of AI Engineering and Innovation, he has driven GenAI, agentic AI, document intelligence, and cloud transformation programs that moved organizations from prototype to governed production—delivering outcomes like a Fed-mandated platform that saved ~$12M annually and reducing cloud account provisioning from 120 days to 2 hours. At AWS he combined architecture, DevSecOps, observability, and evaluation frameworks to scale AI adoption (training 1,500 builders) and to automate incident response workflows that cut setup time from 15 minutes to under a minute. He excels at building repeatable engineering patterns and guardrails for regulated environments, blending hands-on ML and distributed-systems expertise with program-level delivery leadership. Notably, his work emphasizes not just proving AI, but operationalizing it reliably and securely at enterprise scale.
9 years of coding experience
19 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Goverment College of Engineering, Tirunelveli, Tamilnadu, India
Master of Science (MS) Computer Software Engineering, Master of Science (MS) Computer Software Engineering at Birla Institute of Technology and Science
Rose Mary Matriculation school, Tirunelveli, Tamilnadu, India