As a technical lead in AI-driven cloud transformation, I architect and scale intelligent platforms that merge LLMs, machine learning, cloud-native design, and responsible AI practices on Azure. Highlights of my work include:
š¹ GenAI Architecture & Integration
Designed custom Assistant frameworks with secure plugin strategies, prompt pipelines, and LLMOps evaluation harnesses
Led assistant and copilot integrations in regulated environments, aligning AI capabilities with compliance and user productivity
Architect and build Agentic solutions and custom MCP servers to enable customers to take full advantage of LLMs.
š¹ Responsible AI & Governance
Created hallucination detection/evaluation frameworks with CI/CD and containerized workflows
Scoped extensibility and multi-tenant governance strategies for copilots and GenAI platforms
š¹ Cloud-Native Solutions & Platform Reliability
Migrated legacy workloads (e.g., simulation engines, authentication systems) to scalable Azure platforms with secure multi-region deployments
Designed observability dashboards, incident response playbooks, and telemetry-based failover logic
š¹ DevOps & ML Delivery Pipelines
Established full-stack CI/CD pipelines for ML model delivery, evaluation, and API management
Contributed to open-source tooling enabling edge inference in IoT pipelines
š¹ Community Building & Knowledge Sharing
Co-led a global internal engineering conference (20K+ participants), curated GenAI learning tracks
Produced 520 podcast episodes spotlighting Azure cloud innovation and AI adoption stories
Delivered workshops on cloud compliance, prompt engineering, and applied LLM design patterns
