Hi, I'm Matías Enrigue

1. Habita Barcelona

   Real Estate Solo Engineer

   Current Job

   12/2025 - Present

   Sole engineer at a Barcelona real-estate firm, working with AI coding agents. I own every technical decision and work directly with the founders to turn their business needs into four connected production systems.

   • In-house CRM (INMA): portal emails parsed into leads and answered through the WhatsApp Cloud API in 2.1 s (median), replacing about 5 minutes of manual work per lead. 10,000+ leads from February to October 2026, with a record of 572 in a single day.
   • Search Service: a new paid service built on the tenants the agency could not house yet; it matches them with flats as they come in. 688 active seekers in November 2026.
   • habitabarcelona.com: migrated from WordPress to Next.js, with 272 old URLs redirected to keep the search ranking, and connected to the other products and to the property portals.
   • MathProperty (beta): an investment tracker for the firm's property portfolio, with accounting the spreadsheets could not do and analytics across every property.
   • Agentic AI development workflow: context generated from the live database schema, production reached only through prewritten interfaces, and every write logged and approved by me.

   • In-house CRM & Lead AutomationINMAView details
   • Web Pagehabitabarcelona.comView details
   • Search ServiceINMAView details
   • Investment PlatformMathPropertyView details

2. SDG

   Consulting Data Engineer

   04/2024 - 10/2024

   • Reduced allocated project time by 86%, 7 times less days, creating Python automations for a task that had not been automated in years
   • Restructured unmaintainable database architecture for one of Spain's most renowned universities, refactoring 350+ tables across Oracle, SSIS, and SQL Server to establish maintainable codebase and reduce technical debt
   • Maintained end-to-end ETL pipeline (Oracle → SSIS → SQL Server → Power BI), resolving data integrity issues and ensuring reliable data flow
   • Received advanced formation in Power BI & SQL

   • 🎓University Database MigrationView details

3. Fluidra / GRE

   Python Developer & Data Analyst

   04/2023 - 08/2023

   • Automated report generation using Python, reducing workload by 98% from 4 days/week to 30 minutes/week
   • Developed Python automation tool for inventory lookups (performed by 5 colleagues 50+ times daily each), reducing query time from 3 minutes to 10 seconds and saving 250+ hours monthly across the team
   • Largest swimming pool firm worldwide (Fluidra), operating across 47 countries

4. Freelancing

   01/2024 - 04/2024

   Le Wagon

   • Selected as instructor after top performance in bootcamp (Sept-Dec 2023), demonstrating rapid skill acquisition
   • Supervised 20 students across 5 project teams during final project weeks, providing technical guidance on Python and cloud deployment
   • Delivered Tableau training to 20 employees at global energy management leader (Fortune 500) in Grenoble, enabling advanced visualization capabilities for enterprise reporting

   Diamantex

   • 🏭Manufacturing AutomationView details

02Side projects

• 🚕TaxiMizeMaster's Thesis ProjectAI-Powered Driver AssistantMobile app that helps NYC taxi drivers earn more: machine-learning zone recommendations, a 1-5 star score for every ride and the best times to start a shift. Master's final project at UCD, built as a team.TypeScriptNode.jsSQLRedisDockerCI/CDTDDView detailsJul – Aug 2025Smart zone recommendations based on passenger demand patternsIntelligent ride scoring system (1-5 stars) for profitabilityPersistent state management across app sessions
• 🎥Social Media AutomationPython bot that runs influencer-style YouTube, Instagram and TikTok profiles end to end: it comes up with each video, generates it with my own voice, schedules the post and alerts me on Telegram if anything fails.PythonOpenAIElevenLabsWhisperMoviePyYouTube APITelegramView details
• 👤Face TallyAI app that counts faces in photos and live video and predicts each person's age, gender and mood. Built by a team of 4 in 8 days as the final project of Le Wagon's bootcamp.PythonTensorFlowKerasCVYOLOv8FastAPIDockerGCP Cloud RunComet MLView details

04Business Solutions

Do not spend your time (or your employees' time) on tasks that are automatable.
Focus human creativity and problem-solving skills where they truly matter.