Summary
Sulbha Chouhan is a Senior Software Engineer with a decade of experience building cloud-first, AI-enabled data systems across Microsoft, Novartis, and Capital One. She currently leads core components of a large-scale Discover data migration at Capital One, architecting AWS ETL pipelines and hardened CI/CD practices to ensure secure, compliant, and scalable onboarding of multi-domain banking data. Previously she built AI-powered adverse event detection and automated review workflows at Novartis that cut manual review by over 60% and integrated ML into enterprise pipelines, and at Microsoft contributed to Bing features and ranking systems serving millions of users. Sulbha combines deep hands-on engineering (Java, AWS Glue/Step Functions/Lambda, Elasticsearch) with program-level delivery and strong testing discipline, routinely driving >90% unit coverage and modular, reusable codebases. She’s currently sharpening expertise in generative AI, LLMs, RAG, and agent frameworks—bringing practical ML ops insight to data modernization and migration programs. Notably, her work blends product-minded automation with rigorous governance, making complex migrations operationally reliable.
7 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (BTech), Information Technology, 8.81, Bachelor of Technology (BTech), Information Technology, 8.81 at Maulana Azad National Institute of Technology
Carmel Convent School - India