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Armand KayiAK

Armand Kayi

Data & AI Engineer | Full stack developper

€481/day
Lomé, TG
3-7 years
Python
SQL
Data Engineer
AI Agent
RAG

Average response time: 1 hour

About Armand

Data & AI Engineer | Full stack Developper


I am a Data & AI Engineer mainly specialized in building scalable data platforms, Big Data solutions, and Generative AI applications. I help organizations transform their data into reliable, intelligent, and production-ready solutions.

With a strong background in Data Engineering, Distributed Computing, Software Engineering, and Generative AI, I design and develop end-to-end solutions, from data ingestion and processing pipelines to advanced AI-powered applications using LLMs, RAG architectures, and AI agents.

Areas of expertise

1 - Data Engineering & Big Data
  • Building robust Big Data architectures for batch and real-time processing
  • Distributed data processing with Apache Spark, Hadoop, and Kafka
  • Data workflow orchestration using Apache Airflow
  • Pipeline monitoring, reliability improvement, and performance optimization
2 - Generative AI & AI Agents
  • Development of production-ready applications powered by Large Language Models (LLMs)
  • Design and implementation of RAG (Retrieval-Augmented Generation) systems
  • Building AI agents capable of reasoning, tool usage, and task automation
  • Integration of embeddings, vector search, and knowledge retrieval systems
  • LLM application observability, tracing, and evaluation with tools such as Langfuse
3 - Software engineering & Cloud technologies
  • Full statck software developpement (Angular, Node.js, Laravel, Next.js, FastAPI; etc.)
  • Containerization with Docker
  • Deployment and orchestration with Kubernetes
  • CI/CD automation and production best practices

How I can help your organization

I combine Data Engineering expertise and Generative AI capabilities to deliver complete solutions across the entire data lifecycle:

Data collection → Processing → Architecture → AI development → Deployment → Production monitoring

My goal is to help companies leverage their data through scalable, reliable, and impactful Data & AI solutions.
Digital and IT Services

  • English

    Conversational

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • YAS TOGO
    Big Data & AI Engineer
    DIGITAL AND IT
    November 2025 - Today (9 months)
    Lomé, MA, Togo
    Design, develop, and optimize scalable data pipelines that support critical business operations and data-driven decision-making.
    - Design and implement scalable Big Data architectures for batch and real-time processing using Apache Hadoop, Apache Spark, and Apache Kafka
    - Develop, monitor, and maintain high-performance data pipelines using Python, SQL, and Pentaho Data Integration (PDI)
    - Orchestrate and schedule end-to-end workflows with Apache Airflow to ensure reliable and automated data processing
    - Containerize and deploy data solutions using Docker and Kubernetes while enforcing CI/CD best practices
    - Collaborate closely with data analysts and business stakeholders to translate requirements into efficient data solutions
    Environment: Spark, Hadoop, Kafka, Python, SQL, Airflow, Docker, Kubernetes, Git, CI/CD, Data Lake, Streaming, Big Data

    Also working on AI agent for intelligent monitoring and predictive maintenance of telecommunications network infrastructure.
    - Built a ReAct-based analytics module for BTS site KPI analysis, leveraging LLM reasoning and tool-calling capabilities to automate diagnostic and insight generation
    - Implemented a RAG pipeline using embeddings and vector search to enhance contextual understanding and improve response accuracy
    - Integrated Langfuse for observability, tracing, and performance monitoring of LLM-based workflows
    - Exposed the AI agent through a scalable REST API layer using FastAPI to enable system integration and external access
    - Designed and developed a modern, scalable web interface using Next.js for real-time interaction with the AI agent
    Environment: Machine Learning, Deep Learning, NLP, LLM, Retrieval-Augmented Generation (RAG), Embeddings, LangChain, LangGraph, Langfuse, Ollama, Milvus, Streamlit, FastAPI, Prompt Engineering
    Apache Airflow Apache Kafka Apache Spark Langchain RAG
  • YAS TOGO
    AI & Big Data Engineer Intern
    DIGITAL AND IT
    May 2025 - October 2025 (5 months)
    Lomé, MA, Togo
    Worked on AI model development and end-to-end data pipeline engineering
    - Master’s thesis: Design and implementation of an intelligent assistant capable of conversation, making recommendations and taking action
    - Development and training of artificial intelligence models
    - Implementation of ETL data pipelines for data processing and integration
    - Automation and orchestration of data reporting workflows
    - Monitoring and maintenance of ETL pipelines to ensure reliability and performance
    AI Agent Data Engineer Python Pentaho Data Integration (PDI) SQL
  • TECHNOLOGY & BUSINESS
    IT Technician
    DIGITAL AND IT
    March 2023 - September 2025 (2 years and 6 months)
    Lomé, MA, Togo
    Software Development, AI & Digital Solutions
    •Developed a School Management Information System using Angular and Node.js
    •Built a Deep Learning-based model for automatic PDF document title extraction
    •Contributed to the implementation of an Electronic Document Management (EDM) system
    •Developed an online electronic document signing platform using Angular
    •Applied Agile Scrum methodologies for project planning and delivery
    •Completed professional training in Cloud Computing (OVHcloud)
    •Certified training program in Data Analysis
    Angular Node.js GED Cloud computing Data analysis

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Education

  • Master’s Degree - Artificial Intelligence & Big Data
    Joint program between Ecole Polytechnique de Lomé (EPL) and Université de Technologie de Belfort-Montbéliard (UTBM), France
    2025
  • Bachelor’s Degree - Software Engineering
    Ecole Polytechnique de Lomé (EPL)
    2023
    Licence
Check out Armand's education

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