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Guillaume Rakotonjanahary Tsantaniaina AmboarasoaGR

Guillaume Rakotonjanahary Tsantaniaina Amboarasoa

Machine Learning & Generative AI Engineer

200 €/jour
Antananarivo, MG
3-7 ans

Délai de réponse moyen : 1h

À propos de Guillaume

Accomplished AI/Data Engineer and Fullstack Developer with expertise in machine learning, cloud computing, and scalable software architecture. Proven track record in developing intelligent systems, from conversational AI assistants to complex data pipelines. I'm a Data Scientist passionate about AI and data science. With a computer science background and a Master's in Big Data Intelligence, I excel at extracting insights from data. My skills span Python data analysis, visualization, and advanced ML/DL techniques including NLP, Computer Vision, Time Series Forecasting, and applied Generative AI solutions with LLMs.
  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle complète

  • Malgache

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • VOHITRA MG SA
    Generative AI Engineer
    janvier 2026 - Aujourd'hui (5 mois)
    Madagascar
    AI-powered natural language interface that converts user questions into NoSQL database queries for a facility management and cleaning services platform, with automatic visualizations and conversational memory:
    • - Multi-agent architecture with intelligent query routing and relationship awareness Context enhancement through retrieval-augmented generation (6-layer system)
    • - Automatic chart and table generation with export capabilities
    • - Self-learning through human feedback and continuous evaluation Memory system for conversational continuity across sessions
  • eTech
    Data Scientist & AI Engineer [Confirmé]
    août 2025 - décembre 2025 (4 mois)
    Madagascar
    • - Lead generation system through implementation of multi-agent orchestration using Google ADK and LLM models, featuring integration of multi-source
    data analysis including social media and company intelligence gathering, application of pattern-based investment signal analysis for competitive benchmarking
    • - Data Warehouse Design, ML & Visualization for biometric KPI data warehouse by defining fact and dimension tables from PostgreSQL schemas and modeling them in a BigQuery OLAP star schema. Created materialized views for fast Looker studio dashboards and used BigQuery ML to forecast kit usage and trends .
    • - No-code e-commerce product recommendation app with NLP and image recognition on GCP using FastAPI/React. RAG-based chatbot with configurable modes (image/text/combined), admin dashboard with analytics and customization, Google Sheets integration for catalog management. <3s response time.
    • - SQL generation model benchmarking: Evaluated SQLCoder-7B-2, GPT-3.5/4, Claude for architecture, hallucination mitigation, BigQuery syntax, multi-cloud deployment , Spider benchmark validation.
    • - Innovation Cell: Benchmarked new AWS cloud services and GCP equivalents including SageMaker, Bedrock ... .
    • - Real-time Biometric Enrollment KPI Platform: Analytics solution with PostgreSQL data replicated via Airbyte CDC to BigQuery, transformation with DBT SQL , visualized in Looker dashboards for instant monitoring of mobile biometric kit performance in identity verification.
    • - BI Agent Chatbot: RAG-based text-to-SQL solution using Python, LangGraph, LLMs, FastAPI, React TypeScript. Retrieves SQL patterns, DDL, metadata for multi-query execution and instant biometric enrollment insights.
    • - Support Agent Helpdesk: LangGraph/RAG-powered system for kit usage guidance, troubleshooting, and technical support using process documentation for context-aware biometric enrollment assistance.
  • Self Employed
    AI / Data & Full Stack Engineer | Automation
    janvier 2025 - Aujourd'hui (1 an et 5 mois)
    AI platform automating BMS design and documentation. Transforms specifications into deliverables (Functional Analysis, Wiring Diagrams, Code, As-Built) 10x faster with 80% fewer errors using ontology, RAG, and 26 AI agents.
    5 Functionalities
    1. Auto-Documentation - Generates FA, wiring diagrams, network architecture in minutes. Exports Word/PDF/DWG/Excel.
    2. Knowledge Base - Multi-source RAG (specs, manuals, projects) with semantic search. 24/7 technical expert.
    3. AI Workflow - 26 agents automate audit to operations. Detects blockers, prioritizes actions.
    4. Multi-Brand Code - Transpiles to Schneider/Siemens/Distech/ISMA. Auto-generates PID loops, sequences.
    5. Mobile Commissioning - QR scan, field validation, AI anomaly detection, energy optimization. 95% success.

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Formations

  • Hackathon
    INDABAX Madagascar
    2023
    Hackathon

Compétences

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