Haseeb Butt

I’m a Senior AI Engineer and Data Scientist with 9+ years of experience architecting and deploying production-grade Generative AI, LLM, and Agentic AI systems for enterprise-scale applications. I focus on scalable RAG pipelines, multi-agent orchestration, and predictive analytics/ML models that drive measurable operational efficiency.

I have deep expertise across the full ML/AI lifecycle—from statistical modeling and feature engineering to LLM fine-tuning, evaluation, and cloud-native deployment. I’m also skilled at translating complex data science and AI initiatives into clear business impact for cross-functional stakeholders.

In my recent work, I’ve built agentic AI systems using multi-agent orchestration frameworks to enable autonomous, tool-using workflows. I designed production-grade LLM + RAG applications with function-calling agents, hybrid search, and embeddings, and I integrated Model Context Protocol (MCP) to standardize secure, scalable tool access. I established evaluation and guardrail frameworks (RAGAS, DeepEval) to monitor output quality and enforce safe, reliable behavior.

Earlier, I delivered LLM-powered NLP and data science solutions for semantic classification, intelligent routing, and workflow automation, backed by real-time streaming pipelines (Kafka, Apache Spark). I containerized and deployed AI/ML systems with Docker, Kubernetes, and Terraform, managed experimentation with MLflow, and improved reliability through monitoring and drift-detection pipelines. I also built AI microservices (FastAPI, REST, gRPC) and interactive prototyping tools (Streamlit, Gradio) to accelerate stakeholder validation.