Amit Sadhu

Improved RAG pipelines on Azure Semantic Kernel with Typescript and Python, ensuring Command Query Responsibility Segregation and Domain-Driven Design. Enhanced AI outputs by grounding responses and ensuring contextual relevance by integrating the BM25 Similarity algorithm in Azure AI Search.

Led a team that deployed and maintained multiple translation and text-to-speech models for 400+ languages via FastAPI, Docker, Kubernetes and Baseten in production environments. Spearheaded the development of an end-to-end MLOps pipeline and implemented an AI governance framework globally. Worked on deploying multiple large language models in secure environments and developed a Generative AI product that automated the content generation lifecycle.

Built and maintained numerous data pipelines for ingesting, extracting, cleaning, and preparing data that supported structured queries and ETL processes. Managed a Data Source Catalogue of 800+ social media sources and delivered analytical reports for strategic decision-making involving billions of dollars.

Automated IT operations for financial companies and performed automation assessments for intelligent workflows using Python and Powershell runbooks. Conducted ticket analysis for automation scope and delivered dashboards and reports for multiple clients.

Underwent cloud professional training in ITIL V3, server administration, MSSQL, Cisco Routing and Switching. Received accolades such as Best Manager and Best Personality awards during tenure.