Summary
Shivam Negi is a Principal-level data scientist and engineering leader with 11 years of experience building production ML and GenAI solutions across retail and supply chain domains. He currently leads Data Science at Walmart Global Tech, delivering LLM-powered claim summarization, interpretable XGBoost/LightGBM models, and optimization tools that reduced workload and cut costs while earning a company Make-a-Difference award. His background spans end-to-end analytics and MLOps at Amazon and Copart, where he shipped forecasting, pricing, and automation systems that materially improved accuracy and operational efficiency. Beyond industry work, Shivam mentors graduate students and collaborates on research involving NLP and Vision Transformers, blending academic rigor with product-focused execution. Based in Bentonville, he combines practical systems design (linear-programming headcount optimizers, OCR proofs-of-concept) with a knack for turning cutting-edge models into measurable business impact.
10 years of coding experience
8 years of employment as a software developer
Startup School, Startup School at Y Combinator
Bachelor's Degree Electronics and Communication Engineering, Bachelor's Degree Electronics and Communication Engineering at Vellore Institute of Technology
Master’s Degree Information System + ML Certification, Master’s Degree Information System + ML Certification at Northeastern University
French, Hindi, English