PAW AN KUMAR

Designed, developed, and deployed scalable RESTful APIs using Django and Django REST Framework to support AI-powered and LLM-based applications. Built and optimized prompts for GPT-based models, creating 1,000+ high-quality prompts across Python, SQL, data structures, and software engineering, improving response accuracy and consistency. Optimized PostgreSQL database architectures with B-tree and GiN indexing, query tuning, and table partitioning to enable high-performance retrieval for large-scale AI training datasets. Implemented secure authentication and authorization systems using OAuth 2.0, JWT, and AWS Cognito, enabling role-based access control and secure API consumption. Designed ETL and data ingestion pipelines, integrating multiple data sources and implementing DAG-based data transformation workflows for AI training and analytics. Developed Python automation scripts for log monitoring, data validation, API testing, and workflow automation, reducing manual effort and improving

Developed backend and frontend features for a high-traffic SaaS application using Python, Django, React, and PostgreSQL. Improved application performance by optimizing frontend components (HTML5, CSS, Sass), achieving a 25% reduction in page load time. Worked closely with engineering and product teams to deliver scalable, production-ready features.