Kurakula Lekya Sree

About Kurakula Lekya Sree

Machine Learning Engineer at Amazon working on production-grade Generative AI systems. I specialize in designing, evaluating, and optimizing LLM-driven workflows, including RAG and non-RAG pipelines, multi-turn agent systems, and prompt evaluation frameworks used in high-volume internal AI platforms.My experience spans LLM validation and quality evaluation (relevance, correctness, consistency, edge-case analysis), prompt optimization, and automation for monitoring and error handling—improving model reliability, response quality, and system scalability. I apply system-level design principles to agentic AI workflows, focusing on prompt versioning, retrieval logic, turn tracking, and response evaluation.Strong in Python, Machine Learning, NLP, and LLM foundations, with hands-on experience building reliable, maintainable, and scalable GenAI solutions in Agile, cross-functional environments. Passionate about advancing practical Generative AI systems that deliver measurable impact in real-world applications.

Experience

1. Machine Learning Engineer

   Amazon Web Services (AWS)

   Nov 2024 — Present · Bengaluru, IN

   Designed, developed, and maintained production-grade Generative AI workflows, including RAG and non-RAG LLM pipelines and multi-turn agentic systems for high-volume internal platforms. Built and executed LLM evaluation and validation frameworks covering relevance, correctness, consistency, and edge-case analysis, reducing downstream errors by ~25% and improving response precision, recall, and relevance. Implemented automation, monitoring, and exception-handling mechanisms with real-time error detection and retry logic, improving end-to-end system reliability to 96.58% and enabling optimized high-throughput pipelines that achieved 118% productivity against targets. Applied system-level design principles to agent-based AI workflows, including prompt versioning, retrieval logic, turn tracking, and response evaluation, while collaborating with ML engineers, product, QA, and operations teams in Agile environments. Recognized with 2 Prime Player Awards at Amazon for high-impact delivery, technical excellence, and consistent performance.

Education

• Nagarjuna College Of Engineering and Technology

  Bachelor of Engineering - BE, Artificial Intelligence and machine learning