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MHMichel Habchy
Portrait of Michel Habchy

Michel Habchy

Data & AI Solutions Architect

Data · AI · Software Engineering

I Build Intelligent Systems, Not Just Dashboards.

From AI-powered SaaS products and data architecture to enterprise intelligence platforms, I turn complex technical and business requirements into functional, scalable digital solutions.

Focus

AI Engineering · Full-Stack Development · Data Architecture · Business Intelligence

Based in

Riyadh, Saudi Arabia
System mapTap a node

Inputs

Core

Outputs

Relational DB. Clean, modelled data in a relational store: the foundation everything else depends on.

Selected work

From AI products to enterprise intelligence.

Case studies covering what the problem was, what I built, and how it is architected.

Flagship project

Production

Taqdeer

AI-powered construction estimation SaaS

A bilingual Arabic/English multi-tenant SaaS that turns construction RFPs into structured, priced Bills of Quantities, combining AI document analysis, semantic catalogue search, assembly-aware matching and deterministic pricing.

Role

Co-Founder & Full-Stack Engineer

Contribution

Built independently, end to end
  • Python
  • FastAPI
  • SQLAlchemy
  • PostgreSQL
  • pgvector
  • Next.js
  • React
  • Anthropic Claude
  • JWT
  • TOTP 2FA
  • GitHub Actions
  • Docker
  • Vercel
  • Render

Pipeline

  1. 1

    Document input

    Excel · Word · PDF

  2. 2

    Document processing

    Extraction · Parsing · Structured work items

  3. 3

    AI interpretation

    Claude · Structured outputs · Scope understanding

  4. 4

    Semantic retrieval

    PostgreSQL · pgvector · Catalogue matching

  5. 5

    Assembly-aware engine

    Item decomposition · Quantities · Confidence scores

  6. 6

    Deterministic business logic

    Pricing · Cost calculations · Markups

  7. 7

    Application workflow

    BoQ review · Approval · Project management · Financial dashboards

  8. 8

    Secure multi-tenant platform

    Authentication · Permissions · Tenant isolation · Usage metering

National Talents

In Progress

Enterprise BI & Digital Transformation

Requirements, governance, data architecture and BI for a multi-department organization

Leading BI and data initiatives that connect organizational requirements, operational processes, financial data and enterprise systems, from requirements workshops and ERP scoping to cloud data architecture and Power BI dashboards.

  • Power BI
  • PostgreSQL
  • SQL
  • Excel
  • Google Apps Script
Read case study

National Talents

Completed

MBTI-Based Psychometric Assessment Platform

Bilingual assessment workflows, scoring and client reporting

Designed and delivered a bilingual English/Arabic MBTI-based psychometric assessment platform, from response capture and scoring logic to type-profile content and the reporting layer that presents results to clients.

  • Google Apps Script
  • Google Sheets
  • JavaScript
  • HTML/CSS
Read case study

York Press

Completed

EST Assessment Data Engineering

Automated pipelines and dashboards for multi-country exam data

Analytical workflows for large-scale EST exam datasets covering students across Egypt, Jordan, Saudi Arabia and the UAE: Python pipelines, statistics, Dash dashboards and automated reports.

  • Python
  • pandas
  • NumPy
  • Dash
  • Power BI
Read case study

Financial Analytics

Completed

Financial & Event Analytics

Budgeting, forecasting and profitability analysis for events

Financial analysis supporting event budgeting, cost control and planning, including expense and revenue forecasting, Excel and Power BI dashboards, and post-event profitability analysis.

  • Excel
  • Power BI
Read case study

Geo Data Engineering

Completed

Global Comparative Data Research

A structured dataset on centralization across 207 countries

A comparative research dataset on centralization and decentralization covering 207 countries and 31 thematic topics, with client-facing dashboards and forward-looking recommendations.

  • Excel
  • Data visualization
Read case study

Independent initiatives

The Meta Root

Concept

An independent data and AI consultancy concept focused on connecting data, intelligence and business growth: BI, data strategy, AI implementation, workflow automation and custom digital solutions.

In development. No clients or results are claimed.

EdgeIQ

Concept

A fintech-oriented trading application concept focused on financial information, data integration and analytical interfaces: API-driven market information, financial dashboards and database-backed features.

Concept stage. No trade execution, client funds or financial advice.

About

Engineering at the Intersection of Data, AI, and Business.

I am a multidisciplinary data and technology professional with a background in Data Science and practical experience across data engineering, artificial intelligence, full-stack development, business intelligence, and enterprise systems. My work ranges from building automated analytical pipelines and executive dashboards to architecting secure backend systems and developing AI-powered SaaS products.

I am particularly interested in how data, AI, and software engineering can work together to solve complex problems. Rather than approaching these disciplines independently, I focus on connecting them into cohesive systems that are useful, maintainable, and aligned with real business requirements.

I combine technical implementation with an understanding of business processes, stakeholder requirements, and operational constraints. This allows me to contribute throughout the solution lifecycle, from requirements gathering and architecture to implementation, integration, deployment, and continuous improvement.

“I turn complex data and business problems into intelligent, production-ready systems.”
Michel Habchy in a navy suit
Michel HabchyData & AI Solutions ArchitectRiyadh, Saudi Arabia
01

Data Engineering

Structuring, transforming, validating and connecting reliable data.

02

AI Engineering

AI-powered applications, document processing, semantic search and intelligent workflows.

03

Full-Stack Development

Frontend, backend, APIs, databases, authentication and deployment.

04

Business Intelligence

Turning financial, operational and organizational data into decision-support systems.

  1. Step 1

    Understand the problem.

  2. Step 2

    Architect the system.

  3. Step 3

    Engineer the solution.

  4. Step 4

    Deliver measurable value.

Education

Bachelor of Science in Data Science

Lebanese University, Faculty of Information, Branch II · June 2024

Languages

Arabic (Native) · English (Fluent) · French (Fluent)

Expertise

Capabilities, grouped by discipline.

Select a discipline to see what it covers, the technologies I use for it, and the projects where it was applied.

Discipline A

Artificial Intelligence & AI Engineering

Put language models to work inside real products, with structured outputs, retrieval and guardrails instead of free-form chat.

Capabilities

  • AI-powered application development
  • Document analysis and extraction
  • Structured model outputs
  • Semantic and vector search
  • AI-assisted matching
  • LLM integration
  • AI agents and business automation
  • Structured knowledge organization
  • Bilingual AI applications

Technologies

  • Python
  • FastAPI
  • Anthropic Claude
  • pgvector
  • Structured outputs

Applied in

Architecture

How I Architect Intelligent Systems.

Click a layer to see its purpose, responsibilities, technologies and related projects. Switch views to compare a general model with real systems.

Open full page →

ConceptualA conceptual reference model. Not every technology appears in every project.

Layer 1 of 6

Data Sources

Where information enters the system, often messy, inconsistent and in several formats.

Input

Spreadsheets, documents, system exports

Output

Raw records ready for processing

Responsibilities

  • Identify authoritative sources
  • Agree ownership and access
  • Capture formats and refresh cadence

Technologies

  • Excel / CSV
  • PDF / Word
  • REST APIs
  • Google Workspace

Related projects

Experience

Professional timeline.

  1. 2025 – Present

    Venture

    Taqdeer

    Co-Founder & Full-Stack Engineer

    Independent product development: AI-powered SaaS architecture, implementation, security and deployment.

    AI SaaSFastAPINext.jspgvectorCase study →
  2. October 2025 – Present

    Riyadh, Saudi Arabia

    National Talents

    Data Analyst / Full-stack AI SaaS / Reporting and Integration Specialist

    BI leadership, ERP planning, requirements gathering, process mapping, governance, cloud data architecture, Power BI dashboards, a bilingual assessment platform, and reporting and integration initiatives.

    Power BIERP scopingGovernanceData architectureCase study →
  3. July 2024 – October 2025

    Beirut, Lebanon

    Data Analyst, Financial & Event Analytics (Hybrid)

    Financial analysis, budgeting, cost control, revenue and expense forecasting, dashboards, profitability analysis, pricing support and vendor negotiations.

    ExcelPower BIForecastingCase study →
  4. July 2024 – October 2025

    Jounieh, Lebanon

    York Press

    Data Analyst

    Educational assessment analytics: Python pipelines, statistical analysis, automated reporting, Dash dashboards, and cross-country and subject-level analysis.

    PythonDashStatisticsCase study →
  5. February 2023 – September 2023

    Zalka, Lebanon

    Geo Data Engineering

    Data Analyst, Project Based (Hybrid)

    Comparative research, data collection and cleaning, structured analysis, visualization and client-facing deliverables.

    Research dataDashboardsCase study →

Contact

Let’s Build Something Intelligent.

I am interested in opportunities where data engineering, artificial intelligence, and software development can create meaningful business value.

Riyadh, Saudi Arabia