Ismail J.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.

Human here 👋 AI Agent Developer | LLM Integration, RAG Pipelines & Production AI Backends (FastAPI, AWS) I build AI agents and LLM-powered systems that run in production — not just demos. Agentic workflows, RAG pipelines, and LLM backends for real enterprise users. This past year I took an AI SIEM platform from zero to a live product used by enterprise security teams. I designed the agentic AI workflows that automate real analyst work — LLM agents that reason over live data, call tools, and take action — then built the event-driven microservices architecture underneath them. I integrated OpenAI and Claude/Anthropic APIs into production backends, built RAG pipelines for grounded, accurate agent responses, and engineered the prompt systems and multi-agent orchestration that keep those agents reliable at scale. I work end-to-end: FastAPI/Django for the LLM backend and API layer, Python for the agent logic and integrations, AWS/Kubernetes/Terraform for the infrastructure that keeps it running. I don't just wire up an LLM API call — I design the system around it: retrieval, memory, tool-calling, rate limits, monitoring, sandboxing, and the guardrails that keep an autonomous agent from doing the wrong thing in production. I've also led delivery as a Product Team Lead, running Agile sprints across cross-functional teams — so I can own a roadmap for your AI feature, not just take tickets. Core skills: AI Agent Development, LLM Integration, Large Language Models (OpenAI API, Claude/Anthropic API), RAG (Retrieval-Augmented Generation), LangChain, Prompt Engineering, Vector Databases (Pinecone, Weaviate, ChromaDB), Model Context Protocol (MCP), FastAPI, Python, Event-Driven Microservices, AWS, Kubernetes, Terraform, CI/CD, REST API Development. If you're building an AI product and need someone who can take it from "here's the idea" to "here's the deployed, working system" — let's talk. Services: AI SaaS development · AI agent development · LLM integration · RAG (Retrieval-Augmented Generation) · Agentic workflows · Multi-agent orchestration · Prompt engineering · OpenAI API integration · Claude / Anthropic API integration · Vector databases (Pinecone, Weaviate, ChromaDB) · Model Context Protocol (MCP) · AI chatbot development · Conversational AI Backend & Architecture: FastAPI · Django · Python · Event-driven microservices · Stateless cloud-native architecture · REST API design · API integration · System design for scale Cloud & DevOps: AWS · Kubernetes · Terraform · Infrastructure as code · CI/CD · Docker · Cloud architecture · Deployment automation · Scalability / performance optimization · Monitoring & observability Security context: Security-focused system design · Enterprise security tooling · SIEM platform development