Mohammad Khoddami

Building end-to-end AI-powered SaaS products including a multi-mode visualization platform, an offline-first mobile app with an AI vision pipeline, and a document generation system with RAG. Designing full-stack architecture with Next.js/React/React Native, FastAPI/Python, TypeScript, and integrating LLM capabilities (Google Gemini, LangChain) with Firebase and PostgreSQL on Google Cloud Run. Developed “Atomic Spec”, an open-source framework that enforces governance over AI coding agents.

Remote development of AI agents, automation pipelines, and workflow optimizations for a production SaaS platform using React, TypeScript, and backend APIs. Integrating LLM-based features and improving reliability of generative-AI functionality across the system. Developed Atomic Spec, an open-source framework enforcing governance over AI coding agents.

Processed and analyzed large datasets, extracted key features to optimize model performance. Implemented machine learning techniques to enhance model accuracy. Contributed to developing AI-driven solutions for industry applications.