Architecting agentic AI workflowsand high-performance backend systems — designed to think, act, and scale.
I build the infrastructure behind AI-powered products — from multi-step orchestration to seamless API integrations — turning complex AI into reliable, production-ready solutions.
About Me
Hi, I’m Muhammad Faiz Raza — I build the backend systems and AI infrastructure behind products that actually ship. With ~3 years in Generative AI and ML, I’ve gone from fine-tuning LLMs and building RAG pipelines to architecting agentic workflows that run autonomously in production. I care about clean APIs, reliable systems, and AI that does more than demo well.
What I've built / am building:
• Agentic orchestration workflows at Remotebase enabling autonomous task execution across backend systems.
• SkyChat AI Assistant — an LLM-powered conversational assistant serving internal teams, customers, and public users at SkyElectric.
• Communication pipelines integrating WhatsApp & LINE APIs with AI services for real-time interactions.
• Fine-tuned LLaMA 2 for structured YAML generation, achieving ~84% accuracy.
• Self-service chatbot platform backend enabling one-click chatbot creation for e-commerce businesses.
• mcp-clients — an open-source Python SDK for MCP client-server integration.
When I’m not engineering AI systems, you’ll find me exploring restaurants, traveling, or reading about the latest in tech. Always open to connecting — especially if you’re building something ambitious with AI.
What I Do
Backend Engineering
Building high-performance, scalable backend systems and RESTful APIs that power AI-driven products with strong reliability and resilience.
Agentic AI & Orchestration
Designing multi-step, autonomous AI workflows using LangGraph, CrewAI, and AG2 that integrate APIs, make decisions, and execute complex tasks in production.
LLM Solutions & RAG
Developing LLM-powered applications — from conversational assistants to structured data generation — using prompt engineering, fine-tuning, and retrieval-augmented generation.
API & Platform Integrations
Connecting AI services with enterprise platforms through WhatsApp, LINE, Stripe, and OAuth integrations, enabling real-time AI-driven interactions.
MLOps & Cloud Deployment
Deploying and monitoring ML systems in production using Docker, CI/CD pipelines, AWS, GCP, and MLflow for reliable, scalable delivery.
Data Engineering & Analytics
Working with PostgreSQL, Elasticsearch, Redis, and MongoDB to build data pipelines and generate actionable insights from complex datasets.
For more details, visit my LinkedIn