Prem Kalyan David Raj Gai

Designed scalable Python-based serverless applications on AWS, achieving sub-300 ms latency for over 50,000 daily requests. Engineered robust APIs and production systems, developed ML evaluation pipelines, and implemented workflow automation with LLMs to reduce manual triage by over 100 hours monthly.

Developed Python backend APIs with optimized SQL schemas to process over 10,000 plant tracking data points weekly. Containerized production systems using Docker and optimized data pipelines, improving batch upload throughput by 50%.

Contributed to backend AI services using Python and large language models, improving inference pipeline stability and reducing task failure rates by 25%. Designed scalable API endpoints for semantic search and enhanced workflow automation pipelines with retry logic and monitoring.

Developed Java microservices with Kafka event-driven architecture processing over 500,000 daily events. Implemented Redis caching, CI/CD pipelines, monitoring, and security practices, reducing API latency by 60% and improving system observability and deployment speed.

Grade: 3.60

Master of Science in Information Technology with a CGPA of 3.60, completed from August 2023 to May 2025.

Machine Learning certification from Stanford University.

Google Data Analytics certification.