Summary
Shikher Srivastava is a Senior Data Scientist with a decade of experience building production-grade ML and software systems across finance, retail, marketing, and urban analytics. He specializes in LLMs, RAG, NLP, and computer vision, and has led multi-stage transformer pipelines and LLM-driven automation that materially cut cloud costs and manual onboarding workflows at Affinity Solutions. His background includes shipping mobile banking features and conversational AI at HSBC, where he also modernized CI/CD and containerized services for zero-downtime migrations. With an MS in AI from Northwestern, he combines research-driven methods—like BERTopic and pose-based pedestrian analysis—with pragmatic engineering to deliver reliable systems at scale. Notably, he pairs distributed training and RAG for transaction-entity extraction with rigorous QA frameworks, showing a strong focus on production reliability beyond model accuracy.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 3.94/4.0 WES, Bachelor of Technology - BTech, Computer Science, 3.94/4.0 WES at Vellore Institute of Technology
Master's degree, Artificial Intelligence, 3.96/4.0, Master's degree, Artificial Intelligence, 3.96/4.0 at Northwestern University