J
Jisvitha Athaluri
Jisvitha Athaluri
About
Detail
San Jose, California, United States
AI/ML Engineer with 5 years of experience building and deploying production machine learning systems across insurance, mobility, and industrial domains using Python, PyTorch, SQL, and Spark. Built scalable real-time and batch inference systems supporting high- volume enterprise workloads.
Designed and operationalized Retrieval-Augmented Generation (RAG) pipelines using LangChain, Pinecone, LLAMA, improving knowledge retrieval precision by 27% across 500K+ documents and accelerating customer support response cycles by 38%.
Implemented Bayesian hyperparameter optimization, cross-validation, and drift detection frameworks to improve prediction performance by 11% and reduce degraded model exposure by 25% in production environments.
Deployed model serving infrastructure with FastAPI, Docker, Kubernetes, and MLflow, enabling sub-2-second inference latency for 500+ concurrent requests.
Strengthened ML lifecycle governance through experiment tracking, A/B testing, and model monitoring, ensuring reproducibility and SLA compliance across large-scale production environments.
Designed and operationalized Retrieval-Augmented Generation (RAG) pipelines using LangChain, Pinecone, LLAMA, improving knowledge retrieval precision by 27% across 500K+ documents and accelerating customer support response cycles by 38%.
Implemented Bayesian hyperparameter optimization, cross-validation, and drift detection frameworks to improve prediction performance by 11% and reduce degraded model exposure by 25% in production environments.
Deployed model serving infrastructure with FastAPI, Docker, Kubernetes, and MLflow, enabling sub-2-second inference latency for 500+ concurrent requests.
Strengthened ML lifecycle governance through experiment tracking, A/B testing, and model monitoring, ensuring reproducibility and SLA compliance across large-scale production environments.
