Chirag Kumar

Developed a React and Python application for managing training datasets within a large-scale distributed systems architecture, supporting over 20 AI projects and reducing data preprocessing time by 35%.

Engineered 20+ distinct graph types, significantly improving Gemini's plotting system accuracy and enhancing data clarity and consistency across large-scale datasets.

Generated over 1,000 Python-based datasets with metadata for cloud storage, performing debugging, and optimizing data-driven analytics to improve graph response time and AI model performance by 15%.

Developed and deployed a scalable task management system using React, Node.js, Express.js, and MongoDB, supporting up to 1,000 users with real-time notifications and API integration.

Implemented JWT-based authentication and rate-limited API Gateway for 25+ REST APIs, reducing unauthorized access attempts by 95% and maintaining sub-500ms response times.

Rebuilt Simplia Reps homepage using CSS and JavaScript, achieving a 60% reduction in load time and improving Core Web Vitals by minimizing CSS by 80%.

Mastered UI technologies including React, TypeScript, Reactflow, and DHTMLX to create highly interactive user interfaces, decreasing the average time to product call by 2 hours weekly.

Developed and implemented backend security measures for a large-scale distributed system, resulting in a 25% reduction in load times and a 30% decrease in development time for new features.

Led the integration of cloud-based security protocols into a new e-commerce platform across 10+ core pages, collaborating with an agile developer team to rapidly iterate and optimize site performance.