● Developed and deployed a Retrieval-Augmented Generation (RAG) pipeline, leveraging LangChain, OpenAI models, and vector embeddings, to enable semantic search and contextual insights for network telemetry data.

● Implemented pre-trained models, including OpenAI APIs and Vision APIs and PyTorch, to automate configuration generation (e.g., YAML files) from images reducing manual efforts by 30% for NetOps workflows.

● Designed and built a scalable data platform for Network Assistant processing 100GB+ of daily time-series and flow data, creating a central knowledge base for Generative AI-driven insights.

• Designed a DevOps friendly portal for automation testing of the NSX Advanced Load Balancer (Avi) using Jenkins and Ruby On Rails.

• Responsible for implementing logic for AJAX calls to send and retrieve data from the portal using JQuery.

• Identify and troubleshoot UX problems and monitor layout adjustments based on user feedback.