Summary
Neha Lad is a results-driven software engineer with 8 years of experience and a Master’s in Computer Science, currently building products at Abbott after impactful senior roles at Walmart Global Tech. She combines strong fundamentals in data structures and algorithms with hands-on expertise across TypeScript/JavaScript, Java, React, React Native, Node.js and backend APIs, and has worked with relational and NoSQL databases including Oracle, MySQL, SQL Server and MongoDB. At Walmart she led front-end systems serving 1000+ suppliers, drove internationalization and improved supplier engagement by 30%, and owned multiple high-stakes release deployments and performance testing for peak traffic events. More recently she has expanded into generative AI and retrieval-augmented generation using LangChain, LangSmith and Pinecone, bringing RAG patterns into product workflows. Trained in product management at Stanford Continuing Studies, she blends engineering rigor with product sensibility to turn complex requirements into user-focused, maintainable solutions. A practical polyglot engineer, she pairs reusable component design and API development with a knack for operationalizing features across global markets.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at Kolhapur Institute of Technology's College of Engineering
Master's degree Computer Science, Master's degree Computer Science at Binghamton University
Product Management, Product Management at Stanford Continuing Studies
English, Marathi, Hindi