Excellence in Data Engineering & AI/ML Innovation

Sevinthi Kali Sankar Nagarajan is an exemplary Senior Data Architect and Machine Learning Engineer with 20 years of experience in Data Analytics, Artificial Intelligence, and Machine Learning, spanning industries such as automotive, telecom, high-tech, investment, and retail banking. Sevinthi’s technical proficiency, coupled with his leadership and strategic insights, has enabled him to architect and deliver scalable, secure, and optimized data platforms that align with business goals, driving tangible business outcomes.

At HCL America Inc., where he has served since 2014, Sevinthi has led numerous initiatives for Fortune 500 clients, consistently delivering innovative solutions that enhanced operational efficiency, improved risk management, and optimized marketing strategies. He successfully implemented AI/ML models in fraud detection, credit risk assessment, and regulatory compliance, contributing to over $20 million in business value. His expertise extends to designing big data solutions and machine learning models that handle petabyte-scale data, streamlining advanced analytics across industries.

Sevinthi has a proven track record of excellence across all his previous roles. At NetApp, he led a team in creating sales-specific data marts that provided near real-time insights, resulting in a 10% revenue increase. His automation of customer data enrichment processes accelerated go-to-market strategies, earning him the Best Innovation Award. Similarly, at IBM, Sevinthi architected frameworks that reduced operational costs and development cycles while maintaining high levels of efficiency and consistency in data integration.

In addition to his technical contributions, Sevinthi has mentored over 50 data engineers, promoting knowledge sharing and technical growth within his teams. He is also a recognized contributor to the broader professional and academic community, serving as a judge for various prestigious technology awards and conferences. His scholarly work includes publications on AI and data engineering, demonstrating his commitment to advancing innovation and knowledge within the field.