Hey, I’m Morteza

I build production AI systems that solve real operational problems. My work spans Generative AI, Computer Vision, and scalable MLOps – with a focus on deploying models that perform reliably where it matters, not just in demos.

Currently, I’m contributing to an $8M multi-year AI initiative (at Focus FS) embedding intelligent automation into offshore energy and industrial safety workflows. Before that, I worked on fraud detection AI, medical imaging research, and health-tech signal processing.

Enterprise RAG Systems

Multi-tenant agentic chatbots with role-based access, conversational memory, and secure document retrieval

LLM Workflow Automation

AI-powered form generation and reporting automation that cut manual effort by ~80%

Computer Vision & OCR

Transformer-based handwriting recognition for fraud detection workflows

Medical Image Analysis

Deep learning models for whole-body tissue composition estimation from CT scans

Technical Stack

Python PyTorch LangChain Azure OpenAI RAG Transformers Docker Azure Cloud MLOps REST APIs Git

Highlights

  • Designed a production-grade, multi-tenant agentic RAG chatbot serving enterprise customers in offshore energy
  • Built scalable AI backend services with LangChain and Azure, implementing tenant-isolated data access
  • Developed transformer-based OCR for handwritten check images at Verafin (Nasdaq)
  • Research presented at the Atlantic Canada AI Summit 2025 on CT scan body composition estimation
  • Published at IEEE ICCP 2024 on CNN-based analog layout performance estimation