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Allan ROSS

Field Data Quality Engineer @TotalEnergies OneTech CSTJF

Study, Development and/or Research Engineer
Geophysics, oceanography, remote sensing, hydrology
Southwest of France (Pau, Toulouse)
Data analysis and processing
Personal development
Allan ROSS
30 years old
Driving License
Pau (64000) France
Professional Status
Employed
Just looking around
About Me
Life Purpose:
With a profound understanding of applied sciences, physics, mathematics, and (generative) AI, I am committed to deciphering the complexities of intricate geophysical data. My mission is to forge strategic partnerships across various disciplines, enabling a comprehensive understanding of natural and industrial processes, and delivering actionable insights to clients

Vision and Impact:
Innovation in the energy sector exemplifies human ingenuity and collective effort. It involves creating smarter, more eco-responsible extraction methods, requiring multi-energy development globally, aiming to gradually replace conventional fuels, and using AI-assisted processes to optimize production and storage. My current work is reshaping the pre-industrialization era, fostering a sustainable ecosystem where humanity is responsible for both health and technological advancement.
Resume created on DoYouBuzz
  • Developing innovative solutions in image processing and Computer Vision, leveraging TotalEnergies’ High Performance Machine Learning (HPML) environment.

    • Computer Vision Frameworks: Expertise in object detection and instance segmentation using YOLO-v8, Detectron2, and TFOD. Proficient in image processing with OpenCV scripting for R&D projects like ARGOS (robotics), MicroDeep (microalgae), Biodiversity (phototraps), and SYRACO (nannofossils).

    • Workflow Automation: Streamlined and unified Computer Vision components using the Snakemake workflow management library (Python).

    • Green Water Flow Quantification: Combined Sentinel-2, PlanetScope, and drone imagery with in-situ weather station data to quantify evapotranspiration for the WACAPOU R&D project. Utilized tools like Sentinel-Hub EOBrowser, ArcGIS PRO, PlanetExplorer, Google Earth Engine and QGIS.
    Contributing to a poster for the SPIE Sensors + Imaging conference based in Edinburgh (September 2024)
    https://spie.org/spie-sensors-imaging/presentation/WACAPOU-water-awareness-and-compensation-assessment-program-of-optimum-use/13197-57

    • Biodiversity Preservation:
    • Utilized the Microsoft PyTorch-Wildlife collaborative framework for automated biodiversity labeling.
    • Conducted database correction and validation with the expertise of specialist ecologists.
    • Performed extraction, data augmentation, and classification of animal images using YOLOv8-cls
      Contributed to the preservation and census of animal species near TotalEnergies assets.

    • Geological Facies Prediction: Applied Gradient Boosting Decision Trees (GBDT) models to predict geological facies using 3D seismic cubes. Evaluated I/O performance across different file systems.

    • Seismic Data Analysis/Processing: Enhanced the internal DIVA seismic toolbox for SEG-Y/SEP data analysis and processing on Pangea-3/4 supercomputers.

    • Forecasting flooding for TotalEnergies' Papua LNG project using satellite, AI and in-situ data
Detailed Description
  • Entity: OneTech/Technical Lines/Data Tech/Scientific Computing/Softwares for Scientific Computing
Company Description
Located in Pau, the Jean Féger Scientific and Technical Center (CSTJF) is a first-rate research and expertise center, a source of great pride for Total's Exploration-Production branch. Equipped with state-of-the-art laboratories and a high performance supercomputer (HPC), the CSTJF offers our Group the scientific expertise and the means of study which make it shine in the oil and gas world