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Nagendra Varaprasad Bathula Bathula

@nagendravaraprasadba

AI/ML Engineer at Pinterest building recommendation and retrieval systems that increased user engagement by 34%.

At Pinterest, I led development of a production-scale AI recommendation platform using transformer-based retrieval, user behavior modeling, and LLM-assisted ranking. The platform increased user engagement by 34%, while retrieval-augmented workflows improved content discovery and reduced user churn by 27%.

At Microsoft, I contributed to recommendation and search systems, including DeepXML classification models that improved recommendation accuracy by 32%. I also worked on inference optimization that reduced latency by 28%, using Python, PyTorch, and distributed data and serving systems.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

May 2024 - Present (2 years 6 months)

Led development of a production-scale AI recommendation platform, increasing user engagement by 34% and reducing churn by 27%. Architected retrieval-augmented workflows and optimized inference to reduce latency by 31%.

Python PyTorch Faiss ANN Triton Inference Server fastAPI gRPC Kafka Spark Airflow Docker Kubernetes AWS RAG LLM A B Testing Prometheus Grafana Cloudwatch

AI/ML Engineer

Microsoft

Jan 2020 - Jul 2023 (3 years 6 months)

Contributed to large-scale extreme classification and embedding-based retrieval systems, improving recommendation accuracy by 32% and reducing inference latency by 28%. Built scalable data pipelines and deployed services on Azure.