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Anh Dung NguyenAD

Anh Dung Nguyen

Data Scientist | Chatbot | AI | LLM | PhD

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Anh Dung

Active in the information industry for 15 years, I have played a key role in the design and development of various innovative technologies in several application areas: telecommunications, transport, aerospace, finance, and retail. An innovator at heart, I am co-author of 3 invention patents. I am also co-founder of Roofstreet and Ploutos Origins, entrepreneurial experiences through which I have acquired various managerial and leadership skills.

My ability to develop optimal solutions while respecting technical, financial, and time constraints is a major asset in dynamic and demanding environments 🚀
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Nice (up to 50km), Toulouse (up to 50km), Lille (up to 50km), Bordeaux (up to 50km)

Experience

  • Ploutos Origins
    CTO
    SOFTWARE PUBLISHING
    November 2022 - Today (3 years and 7 months)
    Paris, France
    Ploutos Origins provides a SaaS solution allowing companies to create their **fully customized AI agent**.

    As CTO and founding member, I actively participated in building, structuring, and leading, from scratch, the initial technical and organizational foundations of the team, in an agile and scalable framework,
    • defining the tech roadmap,
    • defining objectives and key results (OKR) related to product development,
    • defining the budget for tech development,
    • benchmarking open-source solutions,
    • benchmarking cloud resources,
    • technological and competitive watch,
    • organizing the tech department in an Agile spirit,
    • documenting processes, methods, and procedures,
    • popularizing, communicating, and transmitting knowledge to stakeholders,
    • communicating and reporting results to stakeholders,
    • recruiting human resources,
    • "pre-sales" activities with clients,
    • collaborating with customer support to iterate on the product.

    As a "full stack" developer, I contributed significantly to
    • designing, developing, testing, and deploying Ploutos Chat technology - the company's chatbot engine,
    • designing, developing, testing, and deploying the Ploutos RAG system, enabling an LLM (remote or local) to answer questions based on client data (documents, websites, databases),
    • designing, developing, testing, and deploying the Ploutos Creation system - a "no code" tool allowing sales representatives to easily design AI agents,
    • developing, submitting, and reviewing a Meta connector, enabling chatbots to communicate on Meta social networks (Instagram, Facebook),
    • developing the UI and UX of "web" AI agents,
    • documenting processes, methods, and procedures,
    • reporting and presenting results to stakeholders,
    • maintaining the backlog and meeting defined deadlines and objectives.
    Python Django FastAPI Celery JWT DRF Django Channels React.js HTML/CSS ZenML Langchain Pytorch PostgreSQL pgvector Qdrant Redis Amazon Web Services Terraform Nginx Docker Bash Git GitHub Pytest Vim Microsoft Visual Studio tmux SSH Zsh
  • PADAM MOBILITY
    Research Engineer then Director
    TRANSPORTATION
    July 2019 - September 2022 (3 years and 2 months)
    Paris, France
    Padam Mobility (a Siemens company) provides a white-label, turnkeyon-demand transportsolution for public authorities, public transport operators, and private companies.

    As a member of the R&D team, working closely with the Product and Customer Success teams, I took an active part in the design, development, testing, and maintenance of:
    • route and vehicle capacity optimization algorithms for on-demand transport (Dial-A-Ride Problem) for various use cases, e.g., for Persons with Reduced Mobility (PRM), scheduled services;
    • learning and map-matching algorithms for trip time estimation based on collected ride data, significantly reducing the company's reliance on Google Maps;
    • the backend, particularly data modeling (PostgreSQL via Django) supporting these algorithms.

    As a research engineer in the R&D team, I launched exploratory projects, particularly in data exploration and visualization, to provide internal business intelligence tools.

    As Director of Research at Padam Mobility, I initiated and developed partnerships with public research entities within collaborative research projects, including CIFRE PhDs. I also participated in recruiting various profiles: interns, R&D engineers, and PhD students. I also played a key role in projects related to the company's JEI status and CIR.
    Python Cython Django DRF Celery Redis RabbitMQ Git Docker Pytest
  • SparkAudit
    Project Manager
    CONSULTING AND AUDITS
    January 2021 - June 2021 (5 months)
    Paris, France
    As project manager, I initiated and led an Agile team of 5 people (including 3 developers, 1 UX designer, and 1 financial auditor) in an "exploratory" project aiming toautomate audit testsusing AI. After surveying about fifty financial auditors in different firms, we quickly designed and developed a prototype and presented it to various industry stakeholders. The solution was presented at the HackAudit hackathon and subsequently became one of the 4 projects (out of 11) selected and incubated by EuraTechnologies.

    As a developer, I actively participated in designing the solution's core architecture and developing document matching algorithms based on OCR, as well as the backend (database and API).
    Python Django Celery Redis RabbitMQ Pytest Tesseract OpenCV PostgreSQL

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Education

  • PhD in Computer Science
    INP Toulouse
    2013
    « Contributions to modeling, structural analysis, and routing performance in dynamic networks », supervisé par Prof. Patrick Sénac et Dr. Michel Diaz. Mention très honorable avec félicitation du jury, thèse nominée au prix Léopold Escande des meilleures thèses de l’INP (top 15%).
  • Master of Science (M2R)
    INSA Toulouse
    2009
    Mention bien. Stage effectué au LAAS-CNRS sous la direction de Prof. Patrick Danès, « Analyse Théorique et Implémentation sur FPGA d’une Extension Large Bande de la Méthode MUSIC pour la Localisation de Sources Sonores en Robotique ».

Skill set

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