Hardik Kakkar

Led a team of 4 engineers building an AI-powered Inventory Management System and the data platform underneath it. • Designed and deployed an ML-driven demand forecasting and inventory optimization engine — machine learning models for stock prediction and replenishment, reducing inventory discrepancies by 85% • Built real-time data synchronization pipelines across Shopify, Amazon (FBA/FBM), and internal systems, with automated conflict resolution • Reduced API latency from 2.5s to 300ms via query optimizati

Built and maintained a Visitor Management System serving multiple enterprise locations. • Designed REST APIs for visitor tracking, reporting, and analytics across distributed enterprise sites • Optimized database queries for real-time tracking workloads, reducing visitor processing time by 40% • Implemented role-based access control and automated notification workflows Stack: Node.js, Express, MongoDB, React, AWS, JWT

Delivered 5 production-grade full-stack applications using React.js, Node.js, and TypeScript. Built a strong foundation in API design, data modeling, cloud deployment, and Agile methodologies. Optimized database clusters and streaming pipelines to handle high concurrent loads.

• Developed and maintained full-stack applications using the MERN stack, ensuring high performance and responsiveness. • Optimized client performance through the implementation of Redis and WebSockets, achieving a 100% delivery rate. • Managed databases with MongoDB and MySQL, enhancing data retrieval speeds and overall application efficiency.

MSc in Computer Science with a focus on data scienc, machine learning, and large-scale data systems. Corsework and project work spanning statistical method, ML modeling, distributed data processing, and appled analytics.