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Santiago Patino Serna By Godi.aiSP

Santiago Patino Serna By Godi.ai

AI Agents Engineer · Python · LangChain

€300/day
4 projects
Madrid, ES
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Santiago Patino Serna

Do you need AI in production — or has your POC been stuck for months?

I'm Santiago. Data Scientist and AI Engineer, founder of Godi.AI. École Polytechnique. 5.5 years at Primagaz/SHVE (2M+ clients, demand forecasting, -35% logistics costs, €500K estimated savings with ML), the last 2 deploying AI agents in production. Currently CIO Perlatours.

What sets me apart: the same person who designs the solution builds it and makes it work. No handoffs, no loss of context, no projects that die in the deck.

I can help you to:
- Build AI agents in production (Python, LangChain, n8n, RAG)
- Model demand forecasting, forecasting, anomaly detection
- Integrate AI into your systems (CRM, ERP, Slack, HubSpot, custom APIs)
- Define your AI strategy — roadmap, ROI-prioritized use cases
- Train your team to iterate prompts without calling me every week

Three ways to start:

Express POC / Diagnosis — €190
Basic AI agent with 1 API connection (WhatsApp, Slack, OpenAI…) or 48h AI diagnosis with 3 quantified opportunities. Ideal for testing AI or prioritizing investment without commitment.

AI Agent or ML Model — €890
Agent with RAG + 2-3 integrations, or productized ML model (forecasting, anomalies, classification). Delivery 5 days. Ideal for automating 1 key process.

AI in Production — €2,490
Robust agent or model with evaluation, monitoring, team training, and 30 days of support. Delivery 2-3 weeks. For companies that want real AI, not demos.

Want something bigger or custom? Write to me.
  • Spanish

    Native or bilingual

  • English

    Fluent

  • French

    Fluent

Can work on-site
Madrid (up to 50km), Barcelona (up to 50km)

Experience

  • Godi.AI
    🚀 Founder, CEO, and Data Scientist
    SOFTWARE PUBLISHING
    June 2023 - Today (3 years)
    París, France
    Founder of Godi.AI — AI agents deployed in production for companies.

    DELIVERED AGENTS
    → Clara — Customer Support (B2B SaaS)
    Ticket classification, FAQ responses, draft preparation.
    Result: -40% Level 1 support time

    → Victor — Back-office (Retail SME)
    Email reading, data extraction, automatic CRM update.
    Result: 12h saved/week

    → Sophie — Prospecting (Marketing Agency)
    LinkedIn lead enrichment, automatic scoring, priority lists.
    Result: +55% qualified leads

    → Nova — 24/7 Service (Consulting)
    Automated pre-diagnostics, intelligent forms, new digital channel.
    Result: New service launched in 4 weeks
    Stack: Python, GPT-4, RAG, LangChain, FastAPI, Mastra.ai
    Integrations: Zendesk, HubSpot, Salesforce, Slack, Custom APIs
    AI Agents LLM GPT5.1 Python RAG
  • Primagaz / SHV
    Data Scientist
    ENERGY AND UTILITIES
    May 2021 - June 2023 (2 years and 1 month)
    París, France
    Data Scientist at Primagaz/SHV (2M+ clients, leading energy provider in France).
    PRODUCTION DEPLOYED PROJECTS

    → Demand Forecasting (Random Forest)
    400+ variables, reduction in transport costs, anticipation of purchases.
    Result: -35% logistics costs, 92% forecasting accuracy

    → Long-term Forecasting 24 months (Prophet/Kats)
    Optimization of stocks and logistics planning.

    → Virtual Meter (TensorFlow)
    Individual consumption prediction based on weather data.

    → Anomaly Detection (Unsupervised)
    Anticipation of errors and supply chain optimization.
    Result: Estimated savings of €500K

    → Image Recognition
    Improved traceability through computer vision.
    Python TensorFlow Machine Learning Data Science Deep Learning
  • Primagaz / SHV
    Logistics Engineer for Distribution Studies
    ENERGY AND UTILITIES
    May 2019 - May 2021 (2 years)
    París, France
    Data analysis and automation for the logistics department of Primagaz/SHV (2M+ clients).

    PROJECTS
    → Log-IA: Predictive algorithm (400+ variables) to anticipate customer demand with integrated event correction.
    Result: +40% logistics efficiency

    → Smart Distribution: Statistical method to optimize customer stock levels.
    Result: 4h/day reduction in manual tasks
    → Tactical Automation: Automatic adjustment of delivery frequencies by product.

    Stack: Python, Power BI, SQL, Scikit-learn
    Microsoft Power BI Python (Programming Language) Extract, Transform, Load (ETL) SQL Server Process Automation

Reviews

5.0

Out of 1 rating

F

Francesc

Viatges Perlatours SL

Reviewed on 2/13/2024

Santiago has worked very efficiently, met deadlines, demonstrating exceptional performance, with a dedication and professionalism that inspires confidence. His contribution is highly valued by the team. It is a pleasure to work with someone so committed and talented, he will surely be the first of many projects.

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Education

  • Data Science Starter Program
    École Polytechnique Executive Education - Paris
    2021
    📚 Introducción a la Data Science 🔍 Análisis y limpieza de datos 🤖 Aprendizaje supervisado y no convencional en aprendizaje automático (Machine Learning) 🧠 Introducción al Deep Learning ☁️ Taller sobre datos y Cloud Computing 📈 Desafío del Big Data 📋 Diseño y gestión de proyectos en ciencia de datos 🎓 Certificación
  • Industrial Systems Engineer
    University of Technology of Troyes - France
    2017
    🚀 Gracias a mi espíritu emprendedor, logré establecer un acuerdo de doble titulación entre la Universidad de Tecnología de Troyes (UTT) en Francia y la Universidad de Antioquia (UdeA) en Colombia. 🎓 En UTT, mi formación se centró en materias basadas en estadística y matemáticas. Además, me especialicé en Logística Externa, profundizando en áreas como la Investigación Operativa y la Modelización de Sistemas Industriales. 📘 Participé en cursos adicionales que iban desde la ética hasta la regulación industrial francesa, asi como SAP. 🔍 Durante mi tesis, me sumergí en el mundo de la logística con el proyecto "Preventas y Rutas de Entrega: Ruteo de Vehículos Periódico con Dos Visitas". Para ello, utilicé herramientas como Excel, VBA, Solver y Xpress. 🏭 Finalmente, pude aplicar mis conocimientos académicos durante una pasantía en Procter & Gamble.

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