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Ercag CanEC

Ercag Can

AI & Data Engineer

€600/day
Antwerpen, BE
3-7 years

Average response time: 24 hours

About Ercag

I help organizations move beyond "AI hype" by building production-grade Generative AI and Predictive Maintenance systems that deliver measurable ROI.

Unlike generalist data scientists, I specialize specifically in Retrieval-Augmented Generation (RAG) and Autonomous Agents. My focus is on engineering robust, hallucination-free architectures that solve expensive business problems.

Why work with me?

Proven ROI: I recently engineered a predictive maintenance system for Equans that secured a 99% upkeep guarantee and reduced maintenance overhead by >30% across 230 installations.

Speed to Market: I delivered an award-winning GenAI product (2nd Place, Arizona Startup Contest) from PoC to production in a strict 5-month sprint.

Deep Technical Expertise: I don't just call APIs. I architect custom RAG pipelines using Vector Databases, Elastic Stack, and Python, ensuring your data remains private and your model's output is factual.

Core Services:

RAG Architecture: Building "Chat with your Data" systems that actually work (high accuracy, low latency).

Predictive Maintenance: processing high-velocity telemetry to predict failures before they happen.

Legacy Modernization: Refactoring slow Python/SQL pipelines for 10x performance gains.

Tech Stack: Python, LangChain, Elastic Stack (ELK), Vector Databases, Azure/AWS, Docker, LLM Fine-Tuning.

Ready to automate complex workflows? Let's discuss your use case.
  • English

    Native or bilingual

  • Dutch

    Native or bilingual

  • Turkish

    Fluent

  • French

    Conversational

  • German

    Basic

Remote only
Primarily works remotely

Experience

  • Equans BeLux via TMC Belgium
    AI & Data Engineer
    ENERGY AND UTILITIES
    October 2025 - Today (8 months)
    Aartselaar, Belgium
    Secured a 99% upkeep guarantee across 230 technical installations by engineering anomaly detection models within a 2-month deadline. Reduced maintenance overhead by >30% via a smart predictive management system, eliminating unnecessary manual inspections through high-velocity telemetry analysis. Implemented an LLM-driven expert system to classify and summarize anomalies, automating technical oversight and root cause identification. Tech Stack: Python, Elastic Stack, LLM Agents, Predictive Maintenance, ETL
    Python LLMs Machine learning
  • AIGM
    Freelance LLM Engineer
    SOFTWARE PUBLISHING
    February 2024 - August 2024 (6 months)
    Arizona City, United States
    Delivered an award-winning Generative AI product (2nd Place, Arizona Startup Contest), driving the full lifecycle from PoC to a production-ready agent within a strict 5-month deadline. Architected secure, high-throughput inference pipelines, balancing rigorous data privacy compliance with low-latency performance. Engineered robust RAG workflows to ensure high factual accuracy and context retention, solving critical hallucination issues for proprietary data. Tech Stack: Generative AI, RAG, LLM Pipelines, Data Privacy, Python
    Python LLM Retrieval-Augmented Generation (RAG) LLM Fine-tuning noSQL
  • Alinco NV & Deprest
    Lead Full-Stack Engineer
    MECHANICAL ENGINEERING
    November 2023 - April 2025 (1 year and 5 months)
    Sint-Niklaas, Belgium
    Directed a legacy modernization initiative, replacing outdated ERP infrastructure with a custom, high-performance full-stack solution. Optimized system performance, achieving a 10x increase in transaction throughput and slashing interaction latency by 90% (from 10 seconds to 1 second) through efficient query optimization and frontend re-engineering. Deployed the solution into a live production environment, managing the migration strategy to ensure zero downtime for business-critical operations. Tech Stack: Python, PyQt6, ERP Systems, Performance Optimization
    Python Microsoft SQL Server PyQt

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Education

  • M.Sc. Computer Science
    University of Antwerp
    2025
    M.Sc. Computer Science

Skill set

Categories