Jamil Raza

I am an AI/ML engineer and data scientist focused on building production-ready models, agentic AI systems, and scalable ML pipelines. I specialize in RAG workflows, LLM fine-tuning, multi-agent orchestration, and MLOps-driven deployments.

I have delivered end-to-end projects including RAG-based chatbots, YOLOv8 edge-ready pipelines, and predictive dashboards, often containerized with Docker and exposed via FastAPI or Streamlit. I emphasize reducing hallucinations, ensuring model grounding, and documenting throughput and inference metrics for production readiness.

My work blends practical engineering and analytics: feature engineering, model fine-tuning (LoRA), model versioning, CI/CD for ML, and monitoring for data drift and cohort performance. I also build user-facing tools with Streamlit, Gradio, and business visualizations in Tableau and Power BI.

I enjoy mentoring and teaching, having trained large cohorts in data science and machine learning, and I seek roles where I can drive reliable ML products, improve model lifecycle processes, and collaborate cross-functionally to deploy impactful AI solutions.