Zack Khan

Led development of AI-driven enterprise platforms integrating machine learning workflows, real-time analytics, and automation using Python and FastAPI with front-end dashboards. Designed and optimized high-performance APIs and backend services for inference and data processing workflows while improving response time and scalability. Implemented secure authentication/authorization and governed AI access using JWT/OAuth2 and role-based controls, and architected scalable microservices using Docker and Kubernetes (EKS). Built real-time monitoring and notification features using Redis Pub/Sub, SignalR, and Firebase.

Developed AI-powered analytics dashboards and real-time monitoring systems using Python and FastAPI with React/Angular and data streaming. Integrated third-party services and APIs and improved platform automation workflows using payment/communications integrations. Optimized MLOps and CI/CD pipelines with Azure DevOps, GitHub Actions, Docker, and cloud infrastructure. Improved backend scalability and inference performance through Redis caching and distributed asynchronous processing, and delivered microservices using .NET Core, Docker, and Kubernetes with observability support.

Built and maintained AI-powered web applications and analytics features using Python and FastAPI with React for data-driven operations. Supported machine learning pipeline integration and implemented model-serving APIs for automation use cases. Created ETL and automated data ingestion workflows to support reporting, analytics, and ML workloads. Worked with Docker and GitHub Actions for CI/CD support and improved performance using database tuning, Redis caching, and API optimization techniques.