Shan

I am an AI and backend engineer who designs, prototypes, and deploys production AI solutions, including LLM applications, RAG chatbots, predictive machine learning models, AI agents, and Python microservices. I have experience integrating AI capabilities into existing SaaS platforms and data workflows using REST APIs, AWS serverless services, SQL, and automated ETL pipelines. I have built conversational AI assistants from discovery and proof of concept through production deployment, developed evaluation frameworks for RAG systems with hallucination checks and prompt regression tests, and created automated AI validation pipelines to identify performance regressions and root causes. My backend work includes secure REST APIs serving more than 50,000 daily requests, production monitoring and alerting, and performance optimization for Python services and data pipelines. I work hands-on with Python, LangChain, OpenAI APIs, ChromaDB, PyTorch, TensorFlow, Scikit-learn, AWS, GCP Vertex AI, Docker, Kubernetes, and CI/CD. I also bring experience collaborating with non-technical stakeholders, translating open-ended requirements into practical solutions, and implementing privacy-conscious systems aligned with GDPR and CCPA requirements.