Gaurav Kaklotar

Built backend data services for an enterprise railway management system, creating performance-critical Oracle PL/SQL procedures and queries that reduced execution time by 30%. Implemented backend features using Next.js, designing server-side logic, API integrations, and role-based data workflows to enhance application reliability. Translated business requirements into technical user stories, collaborating across teams to deliver stable, production-ready system features.

Designed scalable backend systems using Django and Flask, building modular services and reducing data processing time by 50%. Built dynamic user interfaces using React and Next.js, improving user engagement and experience. Integrated OpenAI APIs to automate intelligent workflows and enhance system capabilities. Optimized database operations with PostgreSQL and MySQL through query tuning and indexing, improving efficiency by 30%. Project Uncia: Reduced research time by 60% by providing real-time product lifecycle updates through optimized FastAPI endpoints; utilized web scraping to gather EOL/EOS data; integrated OpenAI APIs to provide intelligent insights and recommendations based on lifecycle data; built a scalable backend with Django, improving database query performance by 30%.

Developed backend services using .NET Web APIs, improving system stability and reducing production bugs by 40% through robust validation and error handling mechanisms. Automated deployment pipelines using Docker and Ansible, reducing manual release effort by 35%.