AI Engineer at Scale AI

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