Harsh B.

Background

About Harsh B.

Microsoft Azure's Hardware and Systems Infrastructure team empowers businesses by leveraging advanced telemetry pipelines, predictive analytics, and real-time diagnostics. With over four years at Microsoft and prior experience at AWS, this role has focused on deploying ML models, optimizing compute efficiency, and integrating tools like Azure Synapse, Databricks, and Cognitive Services to enhance operational insights. With experience across Microsoft, AWS, and startups, I specialize in full-stack development, cloud infrastructure, and cutting-edge AI/ML technologies—including GenAI and LLMs. My expertise spans the full technology stack—from developing distributed telemetry systems using Docker and Kafka to implementing GenAI solutions with Azure AI Foundry and Semantic Kernel. • Architected and deployed LLM/VLM-based solutions at global scale, embedding continuous monitoring and automated + human feedback loops • Partnered with Product, Legal and Engineering teams to align AI systems with user trust, fairness and global regulatory requirements • Implemented evaluation infrastructure — metrics, datasets and tooling — to drive safe, inclusive and robust AI experiences Previously at AWS, contributed to projects like MFA solutions and WebAuthN FIDO2 support for AWS SSO, showcasing expertise in backend API development and secure authentication. Known for collaborative problem-solving, this professional is driven to create scalable solutions that address complex challenges in cloud computing and AI.