Senior Full Stack AI Engineer | Technical Leader | Top Rated Plus Upwork (100% Job Success)

I build production AI systems, full-stack apps with LLMs, agents, and real users on day one. I architect applications, design scalable APIs, and ship the connective tissue that turns model outputs into reliable user experiences: LLM integrations, agentic workflows, RAG pipelines, streaming UIs, human-in-the-loop controls, and observability and guardrails that keep it all stable in production.

• 💼 5+ years leading technical direction across React, React Native, Node.js, TypeScript, and production AI features
• 🏗️ Specialized in system architecture, scalable API design, experimentation platforms, and CI/CD automation
• 📊 Impact: 47% reduction in support tickets | 3× developer velocity | 99.8% failure capture | 10M+ records processed | experimentation infrastructure tied to 34% conversion lift across enterprise clients
• 🎓 MSc Software Engineering, Kingston University
• 🌟 Global platforms serving 200+ international operations teams

Leading projects from architecture through deployment. Mentoring engineers. Establishing patterns that scale. Trusted to introduce structure in fast-moving environments whether the product is a traditional web app or an AI-powered surface.

Recent leadership

• Shipped production LLM and agentic features, built to degrade gracefully when models misbehave

• Cut deployment friction 68% and reduced cloud costs $2.4K/month through CI/CD optimization

• Improved system reliability to 99.8% capture rate through comprehensive error-handling architecture

• Accelerated feature delivery 3× with design system standards and component libraries

• Architected an industrial schematics platform used globally across marketing and engineering operations

• 📈 50+ projects delivered | 100% success rate

• 📍 London, UK open to lead roles and consulting

• 🌐 Portfolio & writing: mozia.dev · CV: Download PDF

• 📫 Reach out: mughalhere@icloud.com

Prompt injection detection and LLM firewall for Node.js and browsers. Blocks prompt injection, jailbreaks, data exfiltration, and system-prompt leaks before they reach your model and scans the model's output on the way back. Runs in-process, zero runtime dependencies, TypeScript-first.

Live demo → · Docs & guides →

Production-grade error boundaries for React 18+. Catches the async errors useEffect, setTimeout, event handlers, promise rejections that a plain React boundary silently misses, plus global/route/feature isolation, error classification, and pluggable Sentry or AWS CloudWatch reporting. Runs in-process, zero runtime dependencies, TypeScript-first.

Live demo → · Docs & guides →

• 🏆 Top Rated Plus on Upwork
• 🚁 3D MoonRover Model Contributor for contributing to a library (Florida Space Institute) used by NASA
• 🥇 Winner, coding competition - University of Gujrat (2016)
• 🥈 1st runner-up, coding competition - PUCIT (2019)
• 🥉 Microservice for personality measurement based on Big-Five-Web
• 📦 Open source: react-crash-guard (layered React error boundaries + async bridging) · prompt-protection (LLM prompt-injection guard, TypeScript-first) · mcp-policy-guard (MCP server policy & safety middleware) · streamguard-react (error boundaries & hooks for streaming LLM UIs) · ragbench-lite (RAG golden-question eval harness)

• Building scalable error handling systems - how we reduced support tickets by 47%
• System architecture patterns for React/Node - building for scale from day one

RAG, agentic workflows, MCP, streaming UIs, LLM security, observability