Sarvesh Kumar is a seasoned data engineering and financial risk professional with over 18 years of experience in banking and consulting, specializing in data product delivery, credit risk model implementation, and GenAI tooling. The career trajectory reflects leadership in managing cross-functional teams and driving innovation in data solutions aligned with business goals. • Extensive leadership in data engineering: Leads teams comprising principal data engineers, MLOps engineers, and solution architects to deliver strategic data solutions supporting operational excellence. • Expertise in AWS Sagemaker and model deployment: Manages R/Python model development, retraining, deployment, and monitoring using AWS SageMaker for real-time credit risk models. • Product strategy and revenue growth: Oversees data product roadmaps, stakeholder engagement, and has driven a 10% annual revenue increase through automation and process improvements. • Experience in GenAI and team building: Developed proof of concept for customer experience transformation using Gen AI/LLM models and established a 30+ member team from scratch. • Previous roles in banking and consulting: Held positions such as Assistant Vice President at Barclays Bank, focusing on data provisioning, credit risk model implementation, and business intelligence development. • Consulting and solution architecture: Served as Solution Architect at Ernst & Young, managing large teams and implementing analytics projects for government sectors, emphasizing agile practices and quality assurance. • Technical skills in SAS and big data: Extensive experience in SAS programming, data migration, SAS DI jobs, and building scalable data solutions for banking products across multiple geographies. • Certifications and education: Holds a Bachelor of Technology in Information Technology and multiple professional certifications including SAS Base Programmer, Oracle Certified Associate, AWS AI Practitioner, and Certified Blockchain Expert.