Summary
Ekansh Gayakwad is a Senior Software Engineer and team lead with 9 years of experience building cloud-native, serverless, and AI-driven systems for Fortune 500 clients and startups. He combines hands-on expertise in Python, TypeScript, AWS (Lambda, CDK, EventBridge, DynamoDB) and CI/CD with a strong data science background (MSc) and ongoing DBA studies to bridge technical delivery and business strategy. At Turing he led RLHF pipelines for generative AI and previously delivered end-to-end serverless forecasting and order-management platforms that automated complex workflows and cut operational overhead. He also has deep experience with container platforms, monitoring stacks, and infrastructure automation from enterprise projects at Wolters Kluwer. A published researcher in deep learning who has taught thousands of students, he pairs production-grade engineering with academic rigor and a knack for turning ML prototypes into scalable products.
8 years of coding experience
2 years of employment as a software developer
Doctor of Business Administration, Business Administration and Management, General, NA, Doctor of Business Administration, Business Administration and Management, General, NA at Swiss School of Business and Management
Diploma of Education, Data science, 3.6/4, Diploma of Education, Data science, 3.6/4 at International Institute of Information Technology Bangalore
Bachelor's degree, Information Technology, 8.8, Bachelor's degree, Information Technology, 8.8 at Vellore Institute of Technology
Master of Science - MS, Data Science, 3.6/4, Master of Science - MS, Data Science, 3.6/4 at Liverpool John Moores University
English, Hindi, Marathi