Open to Work
Muhammad Tayyab Ilyas
Applied AI & Solutions Engineer
Agentic Systems · LLM Integration · Workflow Automation · Production Deployment
I build and deploy agentic AI systems that automate real workflows: from multi-agent orchestration and MCP integrations to full-stack applications running in production.
Barcelona, Spain · Open to Applied AI, AI Solutions, Automation and Forward Deployed Engineering roles
Founder of LoopCodeLab · PhD Researcher at UAB Barcelona
What I do
From problem to deployed system
I work end to end: I scope the real problem, design a practical AI solution, build the full-stack application, integrate the models and services, and deploy and operate it on my own Linux infrastructure.
Understand the problem. Turn operational and user needs into a clear, buildable AI solution.
Design AI solutions. Agentic workflows, multi-model routing, LLM-as-a-judge evaluation, tool calling and structured outputs.
Build full-stack. Complete applications across Python, Node.js, React and FastAPI.
Integrate everything. LLM APIs, REST APIs, MCP servers, WhatsApp, email and calendar, and automation tools like n8n.
Deploy and operate. Ship to Linux with Docker, Nginx, PM2 and systemd, with TLS, monitoring and failure handling.
Communicate clearly. Explain technical systems to business, research and education stakeholders so they get adopted.
About
Bridging applied AI and real-world delivery
I am an Applied AI and Solutions Engineer based in Barcelona. I design, integrate, evaluate and deploy production AI systems: agentic workflows, multi-LLM evaluation, real-time voice AI, MCP tools, AI media pipelines, and the full-stack applications and self-hosted infrastructure that run them.
My background combines engineering execution with doctoral research and more than ten years across education and technology. That mix lets me translate cleanly between business needs, user workflows and technical architecture, and to ship systems that non-technical teams can actually adopt.
Applied AI & Solutions Engineer
Independent · Since 2024
Design, build and deploy production AI systems and the infrastructure they run on
Founder & Creator
Self-hosted multi-agent platform that plans, builds, reviews and ships software from a single prompt
Founder & CTO
AI education platform generating curriculum-aligned lesson plans and quizzes, built for Urdu and offline use
PhD Researcher
Universitat Autònoma de Barcelona
Pedagogical digital competence and AI adoption in higher education. Supervisor: Dr. Cristina Mercader
Writer & Columnist
Author of 15 published Urdu columns on life, learning and society
Featured Case Studies
Systems I have built and deployed
Three production systems that show the full arc: problem, architecture, integration, deployment and operation. Most run right now on infrastructure I manage myself.
LoopCodeLab: Multi-Agent Software Delivery
A self-hosted platform where planner, worker and reviewer agents turn a plain-language requirement into planned stories, parallel implementation, code review, Git integration and deployable software. Agents build in parallel on isolated git worktrees, a reviewer merges each change, and one idea ships to web, mobile and the app stores. Bring your own AI keys and own every line.
Parallel agents over tmux and Git, with delivery to the App Store, Google Play and the Microsoft Store
Paco: WhatsApp Voice AI Assistant
A real-time AI assistant that answers WhatsApp voice calls and holds a natural conversation. Paco checks email, calendar, weather and the web mid-call through live tool calls, and places outbound briefing calls through a simple HTTP API. Built from an empty folder to production in a single day.
Deployed on my own Ubuntu server behind Nginx, with bidirectional audio streaming and a custom operations dashboard
Cheema Text-to-Voice MCP Server
A free, open-source MCP server that gives AI assistants local text-to-speech and voice cloning. No API keys, no cloud, running entirely on your machine. Listed on mcpservers.org and consumable by any MCP client.
Compatible with Claude Desktop, Claude Code, n8n and any MCP client
More Projects
Products, tools and integrations
A wider set of AI products, developer tools and integrations. Where a demo is public, the card links straight to the live system.
PakEdX
AI education platform that generates curriculum-aligned lesson plans, quizzes and personalised learning content for teachers and schools. Designed for Pakistani classrooms: Urdu support, print-friendly output and affordable delivery.
CAITA
Computer-Assisted Iterative Thematic Analysis: a three-stage qualitative-analysis workflow with structured coding, Excel exports and transparent researcher control. Published software with a DOI on Zenodo.
webtmux, the LoopCodeLab engine
The self-hosted engine behind LoopCodeLab. A browser and phone workspace where AI agents plan, build, review and ship whole projects in parallel, over xterm.js and a tmux PTY bridge. Live behind this link.
Reel Room
Transcript-first AI video editor: upload an interview, strike a line, and those seconds leave the cut. A hosted, mobile-first studio powered by OpenAI transcription and Remotion rendering across a seven-service Docker stack. Live behind this link.
MultiLLMChat
LLM evaluation studio: switch between Claude, GPT, Gemini, Groq, Qwen and DeepSeek, or compare two side by side with an automatic judge. Provider switching, error handling, retries and usage monitoring.
RefLib
Reference manager for my PhD thesis: 590+ sources with client-side semantic search over embedded vectors and exports for citation tools. Live demo.
smart-name (npm)
Published npm package. Turns free text into a short, DNS-safe slug, safely fitting a clean project name into a single 63 character hostname label (RFC 1035). Zero dependencies.
APKIPA Build Pipeline
Flutter build and distribution pipeline on a headless server: hot-reloading web previews behind TLS and signed Android release APKs, plus a shipped cross-platform game.
PakEdX WhatsApp Node for n8n
Custom n8n node connecting WhatsApp to automation workflows, running in a self-hosted Docker n8n stack alongside AI pipelines.
OpenClaw in Production
Self-hosted, customised deployment of the OpenClaw open-source assistant, running as a daily-driver AI system on my own infrastructure.
AI_Teacher
AI application that generates, manages and grades mathematics problems with personalised student feedback.
Everything here runs on infrastructure I operate
This site and its sister services are self-hosted on an Ubuntu server I administer: Nginx terminates TLS for more than a dozen subdomains, Node services run under PM2 and systemd, and n8n runs in Docker. The portfolio is the proof.
Technical Capabilities
What I work with
Applied AI
Integration
Development
Infrastructure
Research & Education
Next milestones: structured LLM-evaluation harnesses, retrieval over embedded corpora (already used client-side in RefLib), and richer observability across my agent workflows.
Experience
Independent Applied AI Engineer, 2024 to present
More than ten years across education and technology, including recent experience building and deploying AI and EdTech products. My engineering and my education work are shown separately below.
AI Engineering & Product
Independent AI Solutions Engineer
Since 2024LoopCodeLab & AI Product Portfolio · Barcelona
- Created LoopCodeLab, a self-hosted multi-agent platform where planner, worker and reviewer agents execute isolated tasks, review code, merge changes and ship working projects.
- Built Paco, a production WhatsApp voice assistant integrating real-time AI conversation with email, calendar, weather, web search, outbound calling and an operations dashboard.
- Built MultiLLMChat evaluation workflows: multi-provider routing, side-by-side comparison, automated LLM judging, retries and performance monitoring.
- Developed Reel Room, a transcript-first AI video platform on FastAPI, Remotion, FFmpeg, PostgreSQL and a seven-service Docker architecture.
- Published an open-source MCP server for local text-to-speech and voice cloning, and operate 15+ self-hosted sites and services on Ubuntu, Nginx, Docker, PM2 and systemd.
Founder & CTO
Since 2022PakEdX · Remote
- Designed and developed an AI education platform generating curriculum-aligned lesson plans, quizzes and personalised learning content for teachers and students.
- Led end-to-end product work across user needs, AI workflows, full-stack implementation, deployment and educator validation.
- Translated pedagogical requirements into features for teacher, school-leadership, assessment and reporting workflows.
Education & Research
PhD Researcher, Educational Technology
Since 2022Universitat Autònoma de Barcelona · Barcelona
- Research pedagogical digital competence, technology integration and AI adoption in higher education.
- Conducted a mixed-methods study with 127 university-teacher survey responses and 32 semi-structured interviews, applying statistical and qualitative analysis.
- Convert research evidence into practical recommendations for AI-enabled learning products and institutional implementation.
Assistant Education Officer (Contract)
2017 – 2022District Education Authority, Gujranwala
- Supported academic monitoring, curriculum implementation, teacher development and school coordination across assigned public schools.
- Worked with teachers and school leaders to identify implementation gaps and communicate actionable support.
Teacher & Instructional Practitioner
2013 – 2017Public Education Sector
- Delivered classroom teaching and contributed to instructional planning, assessment and learner support.
- Built practical understanding of teacher workload, resource limits and technology-adoption barriers now used to design teacher-facing AI products.
EdTech Specialization
Built for AI in education
EdTech teams need engineers who understand classrooms as well as code. I bring both: education-sector experience, doctoral research and shipped AI products that teachers actually use.
Education-sector experience. Teaching, instructional design and district-level roles across public education.
Doctoral research. Pedagogical digital competence and AI adoption in higher education at UAB.
Curriculum & assessment. Real understanding of curriculum alignment, assessment and teacher training.
Evidence-based design. Digital-competence and learning-analytics research feeding practical product decisions.
AI product development. PakEdX lesson planning and assessment, plus AI_Teacher for maths practice and feedback.
Full-stack delivery. I build and deploy, so an EdTech idea reaches real teachers and students.
Research
Research & publications
Dissertation: Pedagogical digital competence and AI integration among university teachers in higher education. Supervisor: Dr. Cristina Mercader. My research supports evidence-based product design, user research and responsible AI adoption.
A mixed-methods study of university teachers, combining statistical and qualitative analysis to identify adoption barriers and effective practices for AI-enabled learning.
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From Technical Literacy to AI-Integrated Pedagogy: A Scoping Review of Digital Competence Frameworks for Higher Education (2000–2026)
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AI-Supported Lesson Planning for Teacher Education: A Capacity-Building Pilot at the University of Gujrat
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CAITA: Computer-Assisted Iterative Thematic Analysis (research software)
Credentials
Licenses & certifications
When Floats Lie: Quantization, Performance, and Why Rust Keeps AI from Corroding
Rust Foundation
Credibility
Signals you can verify
Published MCP server
Listed on mcpservers.org, MIT licensed
npm package
@tayyabcheema777/smart-name, zero dependencies
Software DOI
CAITA on Zenodo, 10.5281/zenodo.17474907
Peer-reviewed publication
Scoping review accepted at OJET, July 2026 issue
Research grant
UAB Fons de Solidaritat, EUR 1,500 (2026), project lead
15 published columns
Urdu columns at Daily Urdu Columns
Writing
Writing & communication
Alongside engineering, I write a regular Urdu column at Daily Urdu Columns, with 15 published pieces on life, learning and society.
Writing keeps my core professional edge sharp: explaining complex ideas simply. That is exactly what turns an AI concept into something a non-technical team will understand, trust and adopt.
Read the columns →Contact
Let's build something
Looking for an engineer who can turn an AI concept into a deployed working system? Let's talk. Based in Barcelona, Spain, and open to Applied AI, AI Solutions, Automation and Forward Deployed Engineering roles.