Ismail I.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

I help organizations design, build, evaluate, and deploy production-ready AI systems — from Generative AI applications and AI avatars to private LLM infrastructure and enterprise AI architecture. I am a Principal AI Architect and senior technology professional with extensive experience spanning artificial intelligence, software architecture, distributed systems, software engineering, test architecture, and enterprise technology. My work focuses on turning AI concepts and prototypes into practical systems that organizations can actually deploy, govern, test, scale, and operate. AI & Generative AI Architecture • Generative AI and LLM application architecture • Agentic AI and multi-agent/multi-avatar systems • AI orchestration and distributed AI architectures • RAG and enterprise knowledge systems • AI application and API architecture • AI architecture reviews and technical roadmaps Private, On-Premise & Sovereign AI • Private LLM deployment and architecture • Ollama and vLLM inference environments • NVIDIA GPU infrastructure and model deployment • Multi-GPU and distributed inference architectures • Cloud vs. on-premise AI architecture assessments • Data sovereignty and privacy-focused AI systems LLM Engineering • Open-source model evaluation and selection • Model serving and inference optimization • Fine-tuning and model specialization strategies • Prompt and context architecture • LLM evaluation and benchmarking • Multimodal AI architecture Responsible AI & Governance • Human-in-the-loop AI architectures • AI governance and control mechanisms • Auditability and decision traceability • Enterprise AI risk and deployment assessments • Secure AI architecture AI Quality Engineering My background also includes extensive software quality and test architecture experience, allowing me to approach AI systems from both the development and validation perspectives. I can help with AI/LLM evaluation, API testing, automated testing, performance/load testing, test architecture, release readiness, pytest, Playwright and Locust-based solutions. Typical engagements include: • “We want to deploy an LLM privately but don't know what architecture or hardware we need.” • “We have an AI prototype and need a production architecture.” • “We need an independent review of our AI architecture.” • “We need to select the right open-source LLM for our application.” • “We need an agentic AI architecture or multi-agent system.” • “We need to evaluate whether AI should run on-premise, in the cloud, or hybrid.” • “We need an AI testing, evaluation, governance, or deployment strategy.” I am available for architecture reviews, technical consulting, implementation planning, prototype development, AI infrastructure assessments, and fractional AI architecture engagements.