Zeeshan Khan

Developed a scalable letter processing system in C# .NET , deployed with Docker and Kubernetes , capable of handling over 1 million letters/hour. Deployed and managed services on Oracle Cloud Infrastructure (OCI) , ensuring 99.9% uptime for production environments. Built and maintained CI/CD pipelines using Azure DevOps , enabling automated testing, builds, and deployments across multiple environments. Participated in 10+ Agile sprints, delivering new features and updates with on-time delivery rate of 100%. Developed and tested microservices using NUnit, achieving 95%+ unit test line coverage. Resolved production incidents as part of the maintenance team. Collaborated with a cross-functional team of 15 developers and testers , attending weekly refinement and demo sessions with clients for alignment and transparency.

Implemented Retrieval-Augmented Generation (RAG) models , increasing response accuracy by 30% through integration of Python-based retrieval and transformer-based generation. Performed statistical analysis and predictive modeling in Python using Scikit-Learn, PyTorch, and Keras, improving model accuracy by 25% through data preprocessing and feature engineering.