Karim 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 Oct 30, 2026.

I build production AI applications, data pipelines, and full-stack SaaS platforms for startups and enterprise teams. Recent work: a SaaS platform with 5 live AI automation modules (65 planned across a 24-week rollout) and a HIPAA-compliant medical records platform where every data access is logged and defensible. 10+ years shipping code, the last two focused on AI-accelerated development with Claude Code, Codex, Cursor, and whatever ships next: multi-agent systems and LLM integrations that actually run in production. What I do AI engineering: Claude, OpenAI, and Gemini integrations, multi-agent orchestration with LangGraph, RAG pipelines, evaluation harnesses, and production-grade LLM features that hold up beyond the demo. I recently built a Claude-powered proposal generator and an AI report analysis pipeline, both live in production. Data science & ML: Data pipelines, ETL, feature engineering, model integration, and analytics tooling. Pandas, NumPy, scikit-learn, and the glue code that gets models into production. Full-stack development: React / Next.js, Node.js, Python / Django, FastAPI, PostgreSQL, React Native. Clean APIs, sensible architecture, code that other engineers can maintain. Shipped platforms include (HIPAA-compliant EMR: role-based access control, PHI encryption, audit trail logging built to HIPAA Security Rule standards). AI-accelerated workflows: Daily use of Claude Code, Codex, and Cursor with custom configs, MCP server integrations, and agentic dev loops that meaningfully cut delivery time on real client work. Comfortable picking up new AI tooling as it emerges. Cloud & infrastructure: AWS, GCP, Azure, Docker, CI/CD. Built for the load you actually have, not the load a slide deck says you'll have. Industries: SaaS, healthcare (HL7/FHIR/DICOM/HIPAA), fintech, ecommerce (including Shopify and Amazon SP-API), and AI-native startups. Technology Stack: React, Next.js, Node.js, TypeScript, Python, Django, FastAPI, PostgreSQL, Redis, Docker, AWS, GCP, LangGraph, Pandas, scikit-learn, Claude Code, Codex, Cursor, OpenAI / Anthropic / Gemini APIs, React Native. If you're building something AI-heavy, data-driven, or need a senior engineer who can own delivery end-to-end, send over the details and I'll tell you honestly whether I'm the right person for it.