Generative AI Engineer
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Generative AI Engineer with 4 years of experience designing, developing, and deploying end-to-end LLM-powered applications, including chatbots, document Q&A systems, and enterprise knowledge assistants built on Retrieval Augmented Generation (RAG) architecture. Skilled in prompt engineering and prompt optimization, developing reusable and version-controlled prompt templates that improved response accuracy and reduced hallucination rates in production AI systems. Hands-on experience designing and implementing RAG pipelines, integrating Large Language Models with vector databases such as Pinecone and FAISS to deliver high-precision semantic search.
Proficient in integrating LLMs through REST APIs, including Claude models via AWS Bedrock and Azure Open AI. Experienced in building AI workflow automation solutions that streamline document processing, summarization, and enterprise search across PDF, CSV, and relational database sources. Strong background in vector database implementation and embedding generation using Sentence Transformers and modern embedding models to power efficient similarity search.
Deployed scalable, serverless Generative AI applications on AWS using Lambda, API Gateway, S3, and Step Functions, ensuring high availability and cost-efficient operations. Implemented logging, monitoring, and performance optimization practices for AI pipelines, improving system reliability and reducing average LLM response latency.
Experience handling enterprise knowledge bases, unifying structured and unstructured data sources into consolidated Gen AI-powered search and Q&A systems. Solved real-world business problems using Generative AI, including automating document review, reducing manual search effort, and improving decision-making through AI-driven insights. Familiar with prompt versioning, model versioning, and responsible AI practices, ensuring safe, controlled, and auditable AI system behavior in enterprise production environments.
Generative AI Engineer - Centaur Billing IT Solutions
(2022-06)
Enterprise IT Services & consulting
B.E. - Civil Engineering - St. Xavier's Catholic College of Engineering (2019)
