Mohd Faraz
Creator & Lead Developer @ETAS
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WORK HISTORY
Creator & Lead Developer @ETAS
Stuttgart, DE
Architected and led the development of an AI multi-agent orchestration platform using CrewAI, FastAPI, and Next.js/React. • Built a meta-agent (Agent Architect) that automates agent configuration from natural language requirements. • Developed a multi-user, multi-agent, multi-tab chat UI with session persistence and real-time interaction for enhanced user experience.
EDUCATION
RWTH Aachen University
Master's degree, Automotive Engineering
Aligarh Muslim University
Bachelor of Technology (B.Tech.), Mechanical Engineering
SKILLS
ABOUT MOHD FARAZ
I design and build AI platforms where multiple agents, data pipelines, and humans work together in a controlled, observable way.Recently I’ve been architecting two multi‑agent systems:• An enterprise multi‑agent analysis platform (FastAPI, MongoDB, Docker/K8s) that orchestrates 12+ specialized agents, with tiered intelligence levels, cost governance, and a real‑time monitoring UI. It includes an autonomous development system that can synthesize complex multi‑agent workflows from natural language briefs and existing tools like n8n.• Agent Studio, a full‑stack multi‑agent orchestration environment (FastAPI + CrewAI, Next.js/React) with an “Agent Architect” meta‑agent. Users describe what they need in natural language and the system interactively designs agents, generates/validates YAML configs, and wires them into a production‑style chat and configuration interface.In parallel, my industry experience at ETAS (Automated Driving Alliance) and Bosch spans cloud‑native microservices, ML/data workflows, and simulation/testing for automated driving. I’ve built and operated REST APIs and ML workflows on Azure AKS with Docker, Terraform, Helm, GitOps/Flux, Argo Workflows, and CI/CD, and developed automation and validation tooling for safety‑critical ECUs.What I’m strongest at:• Architecting AI and multi‑agent platforms (CrewAI, LLM orchestration, memory & knowledge systems) rather than one‑off models• Building full‑stack, production‑ready systems (FastAPI, Python, Next.js/React, TypeScript, WebSockets, REST APIs)• Designing robust data and workflow layers (schemas, JSON/YAML contracts, observability, cost and quality governance)• Working end‑to‑end: from idea and architecture through implementation, testing, deployment, and iterative improvements with usersI’m particularly interested in roles where AI systems, developer platforms, and real‑world domains (robotics, autonomous systems, data‑intensive products) intersect, and where there is room to own both architecture and hands‑on engineering.
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