Jasmitha Vasepalli

I am an experienced AI Engineer and Data Scientist with six years delivering production-grade Generative AI, MLOps and cloud-native ML solutions across AWS and Azure. I specialize in building and deploying LLM-driven applications, RAG systems, and automated CI/CD pipelines that drive measurable business outcomes.

I have led cross-functional teams to implement customer-facing chatbots, summarization engines, recommendation systems, and computer-vision inspection pipelines, improving resolution efficiency and reducing deployment time and manual effort. I regularly apply advanced model fine-tuning (PEFT/LoRA/QLoRA), evaluation frameworks, and monitoring to ensure performance, compliance and continual learning.

I combine hands-on engineering (SageMaker, Lambda, Databricks, LangChain, Hugging Face) with strong statistical and experimentation practices to extract insights that influence executive decisions and product strategy. I seek opportunities to scale AI responsibly and to operationalize models that deliver clear business value.