Introducing
Who is Rashid?
Building Cognitive Infrastructure at the Intersection of Data, AI, and Human Intent
Rashid is a 34-year-old technology architect who transforms complex enterprise data into intelligent, accessible systems. With over a decade of experience spanning UX design, full-stack development, and AI integration, he specializes in building cognitive infrastructures that enable natural human interaction with structured data through Model Context Protocol (MCP) servers and AI agents.
Core Expertise
Data Architect & Integration Specialist
- Designs and implements enterprise-scale data warehouse solutions for property management and insurance brokerage industries
- Creates custom analytics platforms that transform raw data into actionable business intelligence
- Builds ETL/ELT pipelines handling millions of records with real-time processing capabilities
- Specializes in API orchestration, connecting disparate systems into unified data ecosystems
Cognitive Infrastructure Pioneer
- Develops MCP servers that bridge AI assistants with enterprise databases, enabling natural language data interactions
- Published the Airtable MCP Server (2024), integrating AI with business databases through Anthropic's Model Context Protocol
- Creates intelligent systems where AI agents can query, analyze, and act on centralized structured data
- Vision: Making enterprise data as conversational as talking to a colleague
Backend & Systems Developer
- Languages: Python (MCP servers, data processing), TypeScript (enterprise systems), C#/.NET (backend services)
- Data Platforms: PostgreSQL, SQL Server, MongoDB, Airtable API, Supabase
- Integration Stack: Model Context Protocol, REST/GraphQL APIs, webhook architectures
- Cloud & DevOps: Azure services, Docker containerization, CI/CD pipelines
AI & Automation Engineer
- Builds AI agents that understand business context and execute complex data operations
- Developed systems serving 1M+ users, including COVID-19 testing platform across Latin America
- Creates automation frameworks that eliminate manual processes while maintaining data integrity
- Explores the frontier of AI-data interaction through projects like "Solving the Context Window Problem"
Notable Achievements
- Data Warehouse Solutions: Architected enterprise data warehouses for property management companies and insurance brokerages, enabling real-time analytics and reducing reporting time by 90%
- Airtable MCP Server: Open-source project with 18+ GitHub stars, providing 33 tools for AI-driven database management
- Scale Achievement: Built and scaled COVID-19 testing platform from 1,000 to 100,000+ tests/month, serving 1M+ users
- Enterprise Analytics: Delivers custom analytics solutions that transform how Fortune 500 clients understand their data
- Community Impact: Founded Affihub.com, a peer-to-peer learning platform connecting knowledge seekers with experts
Technical Philosophy
Cognitive Infrastructure Vision
Rashid believes the future of enterprise software lies in cognitive infrastructure—intelligent layers that make complex data systems as intuitive as human conversation. His MCP servers and AI agents represent the first generation of tools that truly understand both data structure and human intent.
Data as a Living System
Rather than treating databases as static repositories, Rashid designs data architectures that breathe, adapt, and respond intelligently to business needs. His systems don't just store information—they understand it, connect it, and make it actionable.
Human-Centered Technology
Despite working with complex backend systems, Rashid maintains a UX designer's mindset. Every API endpoint, every data model, every integration is designed with the end user in mind—whether that user is a developer, analyst, or AI agent.
Current Focus Areas
- MCP Development: Expanding the Model Context Protocol ecosystem with specialized servers for property management (PropertyWare, ServiceFusion) and enterprise systems
- Enterprise Data Solutions: Building custom data warehouses and analytics platforms for industries struggling with data fragmentation
- AI Agent Architecture: Developing next-generation AI agents that can navigate complex enterprise data landscapes
- Cognitive Infrastructure Research: Publishing insights on the convergence of AI, data, and human intelligence
Background & Evolution
- Education: Tecnológico de Monterrey (BA), supplemented by Harvard CS courses and continuous self-learning
- Design Foundation: Started with Adobe Photoshop (2011), evolved through Figma, accumulated 10,000+ hours in product design
- Entrepreneurial Journey: Founded multiple ventures including Tudelega (remote work platform) and Affihub.com (community marketplace)
- Technical Evolution: UX Design → Frontend (React, CSS) → Full-stack → Automations & Workflows → Backend specialist → Data architect → Cognitive infrastructure pioneer
Values & Vision
Guided by Christian principles and a commitment to meaningful impact, Rashid approaches technology as a tool for human empowerment. He believes that by making data truly accessible—not just technically, but cognitively—we can unlock unprecedented levels of human potential and organizational intelligence.
Core Belief: "The best technology disappears into the background, leaving only the human experience enhanced."
Connect & Collaborate
- GitHub: github.com/rashidazarang - Open-source MCP servers and AI tools
- Website: rashidazarang.com - Technical writings and project showcases
- LinkedIn: linkedin.com/in/rashidazarang
- Focus: Enterprise data integration, MCP development, cognitive infrastructure consulting
"I build frameworks, tools, and intelligent systems that bring clarity to complex digital operations. My work lives at the intersection of Cognitive Infrastructure, Computer Science, and AI—making enterprise data as natural to interact with as having a conversation."