You're seeing this page as if you were . The main menu is still yours, though. Exit from immersion
Nicolas PhungNP

Nicolas Phung

Lead Machine Learning Engineer | AI Agent Systems

€1,200/day
4 projects
Paris, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
Back to original language

About Nicolas

I design and operate production-grade machine learning and data systems in multi-cloud environments, with a primary focus on Azure and hands-on experience with GCP and AWS.

With a background as a Data Solutions Architect and Lead Engineer, I specialize in building scalable, event-driven architectures. I leverage Kafka, Spark, Python, Java, and Scala to power real-time enterprise systems.

My scope includes:
  • Cloud-native architecture (Azure, GCP, AWS)
  • Real-time streaming and large-scale data processing
  • ML system design and production deployment
  • Prototyping AI agents and MCP-based solutions in enterprise environments

Currently, I am leading exploratory initiatives on AI agents within a large corporation — designing prototypes, evaluating tools, and guiding internal teams to measure how agentic systems can generate tangible business value.

My goal is to bridge robust cloud infrastructures with emerging AI capabilities to deliver secure, scalable, and production-ready systems.
  • English

    Fluent

  • Japanese

    Basic

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km), Versailles (up to 10km), Puteaux (up to km), Neuilly-sur-Seine (up to km), Issy-les-Moulineaux (up to km)

Experience

  • SociĂ©tĂ© GĂ©nĂ©rale
    Azure Data Solutions Architect Java/Python
    BANKING AND INSURANCE
    April 2022 - June 2023 (1 year and 2 months)
    Puteaux, France
    🏗️ Within the "Datahub" teams of a major French bank, implemented a Data platform enabling migration and technical/functional evolutions towards Azure Cloud.

    • Migration from Apache Spark 2.4.8 -> 3.1.1
    • Development of financial data products with Apache Spark
    • Development and production support of data products operated by Java API
    • Team coaching and upskilling on the Data aspect
    • Implementation of Data job orchestration with Airflow on on-premise managed Airflow
    • Management of both on-premise and Azure cloud infrastructures/services
    • Contribution to architectural choices and maintenance of architectural standards
    • Contribution to the delivery of 3 feature teams using a DevOps approach

    🛠️ Technical Environment: Java, Python 3.9, AKS (Azure Kubernetes Service), Azure HDInsight (Managed Spark Cluster), Azure Storage ADLS Gen2, Azure PostgreSQL, Azure Key Vault, Kubernetes and on-premises service management, Airflow, Docker, Spark on AKS, Spring Boot, Python Poetry, Terraform, Jenkins, Sonar, Conventional Commits, Apache Kafka, Hive, Zeppelin, Delta Lake
    Microsoft Azure Spark Java Python Airflow Kubernetes Elasticsearch Apache Spark Docker Spring boot Terraform Apache Parquet Zeppelin Jupyter
  • Kadensis
    Machine Learning Engineer Python Java
    AUTOMOBILE
    May 2020 - May 2022 (2 years)
    Full Remote

    🏗️ Implemented an architecture using Machine Learning to consolidate articles from various automotive catalog sources on AWS.

    • Migration from Spark 2.4.5 -> 3.1.1
    • Development and production support of data products operated by Java API (on Mongodb/Elastic)
    • Industrialization of Pyspark jobs with ephemeral clusters on AWS EMR
    • Implementation and production deployment of Machine Learning data products
    • Interpretation and improvement of article/catalog matching model results
    • Team coaching and upskilling on Data (PySpark) / Machine Learning
    • Implementation of Data Quality on incoming data with Great Expectations
    • Implementation of Data and ML job orchestration with Airflow

    🛠️ Technical Environment: Python 3.7.9, Spark, PySpark, AWS Elastic Map Reduce (EMR), AWS Athena, scikit-learn, MLFlow, Gradient Boosting, LightGBM, Deep Learning Keras, MongoDB, Java 8, Spring Boot2, Maven 3, Jenkins, AWS ELB, AWS Lambda, Elasticsearch, Great Expectations, Airflow
    PySpark Spark Machine learning Deep Learning Airflow AWS Python Java Spring boot MongoDB Elasticsearch XGBoost
  • Matcha.co
    Machine Learning Engineer Python
    E-COMMERCE
    February 2022 - February 2022
    Full Remote

    🏗️ Implemented GCP Cloud infrastructure, CI/CD for Python anonymization jobs, and an AutoML lead scoring MVP.

    🛠️ Technical Environment: Python 3.10, Pandas, Airflow (Cloud Composer), GCP, DBT, BigQuery, Gradient Boosting XGBoost, LightGBM, AutoML, Terraform, Gitlab CI, Airbyte, Docker
    Python Google cloud Machine learning Gitlab CI Airflow DBT Terraform

Reviews

4.0

Out of 2 ratings

M

Marie-Jeanne

OuiCar SAS

Reviewed on 6/3/2022

Nicolas conducted a day of audit and support for the production deployment of a Scala model.
S

Sébastien

ASAO SARL

Reviewed on 9/7/2021

Recommendations

Antoine BerthelinAB
RM
FU
+1
Antoine Berthelin and 12 other people have recommended Nicolas

These freelancer profiles also match your criteria

AgathaA

Agatha Frydrych

Backend Java Software Engineer

4.7

(3)

2

BaptisteB

Baptiste Duhen

Fullstack developer

4.6

(4)

5

AmedA

Amed Hamou

Senior Lead Developer

4

(2)

7

AudreyA

Audrey Champion

Web developer

4.3

(3)

4

Education

  • Bachelor of Science and Technology in Computer Science
    Université Pierre et Marie Curie
    2007
  • Expert in Software and System Development Management and Engineering
    AFTI ETGL
    2010

Certifications

Skill set

Categories