Asim Z.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.

Struggling to find a developer who can actually ship AI features into a real product? I've spent 20+ years building production software, and the last 2 years going deep on AI agents, RAG, and LLM systems that hold up under real traffic, not just in a sandbox. Full-Stack Development (Python and PHP): - 20+ years building and scaling production systems across both stacks - E-commerce & payment platforms, built to PCI-DSS compliance standards - High-traffic distribution/content platforms serving thousands of active users - Backend APIs, internal business tools, and automation scripts - Wrote code and led the engineers who wrote it, I know what "production-ready" really means DevOps, DevSecOps & SRE: - Cloud infrastructure across AWS, GCP, and Azure - CI/CD pipelines and Terraform for repeatable, safe deployments - Security built into the pipeline, not bolted on after (DevSecOps) - Uptime, monitoring, and fast incident response (SRE) - Disaster recovery planning for clean, fast system recovery - Bare metal server management and true 24/7 operations - Grew a NOC team from 2 engineers to 20+ - Python scripting to automate and tighten up ops work AI Agents, RAG & LLM Orchestration: - Voice AI agents handling high call volumes with 98%+ task accuracy - MCP (Model Context Protocol) servers connecting agents to real business tools - RAG pipelines with vector databases like Pinecone, pgvector to keep LLMs grounded in real data - Multi-step agent orchestration with LangGraph and n8n - Careful prompt engineering and tool-calling design - Full voice pipelines, speech-to-text, intent or slot-filling, natural text-to-speech Why clients hire me: Most freelancers offering AI work today are new to production systems. I'm not, I spent over a decade leading engineering teams of up to 500+ people, and I bring that same discipline to every build: security, observability, and a real plan for when things break, not just when they work. If you need code shipped properly, infrastructure that doesn't fall over, or AI that actually holds up under real usage, let's talk.