Jun 2025 – Present · 1 yr · Redmond, Washington, United States · On-site

• LLMs, Agents, RAG, Knowledge Graphs, Agentic AI, Graph Neural Networks, Scientific Research, Model Context Protocol (MCP), Tools, Agent2Agent Protocol, Code Agents, Improving Developer’s Experience through Agents, Strands Agents, Azure Foundry, Copilot Studio, Bedrock, CosmosDB, Fabric

May 2024 – Aug 2024 · 3 mos · Redmond, Washington, United States · On-site

• Analyzed user needs and stakeholder requirements to define system scope and objectives comprehensively.
• Created prototypes for new reporting visuals and data models, enabling innovative data exploration and developing end-to-end data reporting solutions, from data processing to result visualization.
• Automated data validations and documentation, significantly reducing development time.
• Led the development of an interactive dashboard, providing in-depth insights into program migration status, achieving adoption by 284 distinct users across the organization.
• Optimized existing datasets to enhance query performance, reducing page load times for high-visibility reports by 60%.

Jul 2023 – Aug 2023 · 1 mo · Noida, Uttar Pradesh, India · On-site

• Enhanced data pipelines for efficiency, cutting processing time by 30% and enhancing data accuracy through the implementation of rigorous quality checks.
• Efficiently oversaw and enhanced databases, resulting in a 25% boost in performance and a 20% reduction in downtime incidents.
• Fostered productive collaboration among teams, enhancing data-driven decision-making and ensuring the timely completion of crucial data projects.
• Implemented automation and process enhancements, leading to a weekly time savings of 20 hours on manual tasks, allowing the team to concentrate on valuable data analysis and strategic initiatives.

Jan 2023 – Jun 2023 · 5 mos · Noida, Uttar Pradesh, India · On-site

• Examined, conceptualized, and constructed contemporary data solutions with Azure PaaS services to facilitate data visualization.
• Assessed the existing operational status of over 10 applications, evaluating the impact of new implementations on established business processes.
• Employed a combination of Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics to extract, transform, and load data from 50+ source systems into Azure Data Storage services.
• Ingested data from various Azure Services such as Azure Data Lake, Azure Storage, Azure SQL, and Azure DW, processing the data within Azure Databricks.
• Developed more than 100 pipelines in ADF utilizing Linked Services, Datasets, and Pipelines to extract, transform, and load data from diverse sources like Azure SQL, Blob storage, Azure SQL Data Warehouse, write-back tools, and reverse processes.