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Malt Strategy
Brayan B.BB

Brayan B.

data scientist - machine learning - NLP - AI - LLM

€300/day
Paris, FR
0-2 years
Python
Machine learning
Deep Learning
Data science
LLM

Average response time: 1 hour

About Brayan

I’m an AI / Machine Learning Engineer, graduated from CESI Engineering School (Top 10%), specialized in Machine Learning, Data Science, and Applied AI.

I design and build practical, production-oriented AI solutions, with hands-on experience in:
• Machine Learning & Deep Learning
• LLMs (SFT, RLHF, evaluation, prompt engineering)
• Computer Vision & NLP
• Data analysis and model integration

I’ve worked on projects across e-health, banking, research, and intelligent automation, contributing to end-to-end ML pipelines: from data preparation and model training to evaluation and application integration.

As a freelance AI engineer, I help startups and teams with:
• ML/AI prototypes and proof of concepts
• Data-driven applications
• Model improvement, evaluation, and deployment support

I’m reliable, detail-oriented, and easy to work with, with a strong focus on delivering clear, well-documented solutions aligned with real business needs.

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • DataAnnotation
    Machine Learning Engineer
    September 2024 - October 2025 (1 year and 1 month)
    New York, NY, USA
    Providing high-quality data for Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) on Large Language Models (LLMs).

    Key Responsibilities:

    Reviewing, evaluating, and correcting outputs from Generative AI models to ensure accuracy, coherence, and reliability.

    Handling code generation tasks across multiple programming languages, with a focus on correctness, efficiency, and best practices.

    Validating and refining structured data generation to guarantee consistency and usability in downstream applications.

    Assessing and improving complex mathematical reasoning, ensuring logical soundness and precision in advanced problem-solving.

    Working on Natural Language Processing (English/French), including text understanding, generation, and linguistic quality assurance.

    This role bridges technical expertise with linguistic and analytical skills, directly contributing to the training and alignment of next-generation AI systems.
    LLM Machine learning Deep Learning
  • Tessi
    Machine Learning Engineer
    January 2023 - July 2023 (6 months)
    Lyon, France
    Research Topic: Automatic detection of handwritten signatures in scanned documents using Deep Learning (Computer Vision applied to Document AI).

    Environment: R&D unit of a large group (semi-confidential), specialized in Intelligent Automation (BPS).

    Work carried out:
    • Benchmark of SOTA approaches: YOLOv4, R-CNN, SIFT, SURF
    • Implementation of a detection model based on YOLOv4 + TensorFlow/Keras
    • Training on the public Tobacco-800 dataset (images + XML)
    • Integration of a GIoU loss function + data augmentation strategy
    • Deployment of a visual annotation tool on heterogeneous documents (ID cards, checks, contracts...)
    • Frameworks: TensorFlow, Keras, OpenCV
    • IDEs: PyCharm, Jupyter Notebook

    Results:
    • Accurate detection of signature areas with robust predictions despite format variability
    • Generic, reusable pipeline for new internal non-annotated document sets
    • Performance analysis (IoU, precision, false positives), optimization paths for industrialization

    Skills developed:
    • Modeling and training convolutional neural networks (CNNs) for object detection
    • Annotation and exploitation of structured (TIFF/XML) and unstructured data
    • Performance optimization through data augmentation, hyperparameter tuning, and loss function design (GIoU)
    • Results analysis (IoU, precision, recall, false positive rate) and scientific reporting
    • Model integration into a semi-industrial research environment
    • Cross-disciplinary collaboration with R&D, data science, and product teams
    • Advanced use of Python development tools (PyCharm, Jupyter), DL frameworks (TensorFlow, Keras), and Unix/Linux environments
    • Critical thinking and scientific rigor
    Python Deep Learning Data science
  • Predimed technology
    Research And Development Software Engineer
    September 2021 - January 2022 (4 months)
    Strasbourg, France
    Topic: Development of a medical decision-support tool in neurology, with intelligent structuring of patient data and MRI visualization.

    Environment: SME specialized in medical technologies and neuroimaging, focused on clinical R&D and decision-support tools.

    Work carried out:
    • Designed a business application for monitoring neurological patients
    • Built interactive 2D/3D MRI visualization (multiplanar displays, overlays, etc.)
    • Generated semi-automated structured medical reports
    • Implemented business rules simulating clinical reasoning (symbolic AI / weak AI)
    • Prepared the software infrastructure to integrate future AI modules for detection or prediction

    Stack & technologies:
    • Language: Python
    • Frameworks: Tkinter (UI), SimpleITK, PIL, NumPy, Matplotlib, nilearn
    • Medical visualization: MRI, DICOM/NIfTI formats, multiplanar rendering
    • Tools: Git, Jupyter Notebook, Windows

    Results & impact:
    • Delivered a functional application tested by neurologists
    • Optimized patient record structuring for longitudinal follow-up
    • Facilitated medical visualization for exploratory and clinical analysis
    • Designed a software foundation ready for future integration of predictive AI models (medical computer vision, medical NLP)

    Skills developed:
    • Medical imaging processing and visualization
    • Development of specialized healthcare interfaces
    • Structuring and preparation of sensitive clinical data
    • Simulation of expert logic (symbolic systems / business rules)
    • Collaboration with practitioners, technical writing, and medical needs analysis
    • AI pre-architecture for healthcare: anticipating ML integration constraints
    Python Machine learning Data science
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Education

  • Diplôme d'ingénieur
    CESI Engineering School
    2023
    Key Subjects Year 1 – Foundations • Software Architectures & Information Systems • Mathematics & Data Processing • Databases & Big Data Technologies Year 2 – Technical Deepening • Operational Research & Algorithmic Optimization • Web Development with Vue.js • DevOps & Software Quality Year 3 – Innovation & Management • Project Management & Corporate Strategy • Data Science & Machine Learning • Entrepreneurship & Business Development • Sustainable Innovation & Smart Cities Major Projects Year 1 • IS mapping and risk analysis for a simulated enterprise • Development of a .NET backup software with data redundancy Year 2 • Optimization algorithm for delivery route planning • Web app prototype similar to Uber Eats (frontend + backend) Year 3 • Business plan creation for launching a startup • Financial analysis of establishing a business in Asia • Deep Learning model for automatic image captioning • Organization of a one-day conference on sustainable cities
  • Master of Engineering
    INSA Strasbourg
    2024
    [double degree] Specialized training delivered by INSA Strasbourg engineering school, focused on managing complex technical and operational projects in industrial and technology-driven environments. Designed to strengthen the project leadership capabilities of engineering profiles working at the intersection of innovation, systems, and execution. Key Topics Covered • Project planning & stakeholder coordination • Risk analysis & quality monitoring • Leading cross-functional teams in technical environments • Structuring deliverables in engineering and innovation projects
Check out Brayan's education

Certifications

  • AWS Certified Machine Learning Engineer (MLA-C01)
    AWS
    2025
    Machine Learning on AWS MLOps & ML Pipelines (SageMaker Pipelines) Handling Imbalanced & Large Datasets Security & IAM for ML Workloads Model Monitoring & Drift Detection Model Training, Tuning & Evaluation AWS Data Services Integration (S3, Glue, Athena, Redshift) Deployment & Inference on AWS Data Preparation & Feature Engineering Cost Optimization for ML on AWS
  • AWS Certified AI Practitioner (AIF-C01)
    AWS
    2025
    Responsible AI & Ethics AI Security, Privacy & Compliance Use Cases of Generative AI AI & Generative AI Fundamentals Cost Awareness & AI Governance on AWS Business Value of AI Solutions Prompt Engineering Basics Model Selection & Evaluation (high-level) Foundation Models on AWS (Bedrock) AI Services on AWS (Polly, Lex, Rekognition, Comprehend)
Brayan's certifications are only visible to Malt Community members

Skill set

Computer Vision / Image Processing
Deep Learning
Machine Learning Theory
Natural Language Processing (NLP)
Predictive Modeling
Prompt Engineering
Real-time Processing
Recommender Systems
Model Training and Evaluation
Model Optimization
Feature Engineering

Categories