<!-- Generated from validated public portfolio content. Run npm run content:generate-ai; edit canonical facts in src/content, editorial guidance in ai-resources.ts. -->

# Soufiane Jadda — Technical capabilities

Public positioning: **Data Scientist & AI Engineer**. This resource separates the approved public skills inventory from explicit project evidence. Listed skills alone do not establish project use, production use, proficiency, or years of experience. Attribute tools to a project only where explicitly documented.

## Public skills inventory

### Machine Learning & Deep Learning

CNNs, PyTorch, Scikit-learn, TensorFlow, Transformers.

### Computer Vision & Embedded AI

CUDA, Image Segmentation, Jetson, OCR, Object Detection, OpenCV, TensorRT.

### Generative AI

AI Agents, LLMs, LangChain, MCP, RAG, Vector Databases.

### Data Engineering & Analytics

MongoDB, NumPy, Pandas, PostgreSQL, Power BI, SQL.

### Development

C/C++, Docker, FastAPI, Flask, JavaScript, Python, React.

### MLOps & Automation

CI/CD, GCP, Git, MLflow, n8n, pytest.

### Additional public skills

3D U-Net, Computer Vision, Document Extraction, Multimodal Learning, Web Scraping.

## Explicitly documented project use

These associations come only from canonical project technology references. Project descriptions and contributions provide further context in [Interview Preparation](/interview.md). They do not imply use of other listed tools.

| Project | Publicly documented technologies and methods |
| --- | --- |
| [AI-Powered Railway Wagon Inspection](/projects/ai-powered-railway-wagon-inspection#facts) | Computer Vision |
| [Intelligent Railway Component Identification](/projects/intelligent-railway-component-identification#facts) | Computer Vision, OCR |
| [3D Brain Tumor Segmentation](/projects/3d-brain-tumor-segmentation#facts) | Python, PyTorch, 3D U-Net |
| [Embedded Driving Assistance System](/projects/embedded-driving-assistance-system#facts) | Computer Vision |
| [Intelligent Hospital Information Assistant for Morocco](/projects/intelligent-hospital-information-assistant-for-morocco#facts) | RAG, LLMs, SQL, Web Scraping, Document Extraction |
| [Multimodal Recommendation System](/projects/multimodal-recommendation-system#facts) | Python, Transformers, Multimodal Learning |

## Professional experience evidence

### ONCF Group — Data Scientist Intern

Period: 2026-02 — 2026-07.

During my Data Scientist internship at ONCF Group, I worked on digitalizing visual inspection in a railway operations context, supporting inspection monitoring, results analysis and operational decision-making.

- Translate operational inspection requirements into a data science workflow.
- Support inspection monitoring and analysis of inspection results.
- Develop application functionality for tracking inspection KPIs.

Related project evidence: [AI-Powered Railway Wagon Inspection](/projects/ai-powered-railway-wagon-inspection#experience).

### Moroccan High-Speed Train Maintenance Company (SIANA) — Data Scientist Intern

Period: 2025-07 — 2025-08.

During my Data Scientist internship at the Moroccan High-Speed Train Maintenance Company (SIANA), I worked on digitalizing railway component identification and spare-parts information workflows in a maintenance and supply-chain context.

- Translate maintenance and supply-chain requirements into component identification workflows.
- Organize data collection, annotation, preparation and management.
- Develop tools for maintaining and expanding component reference information.

Related project evidence: [Intelligent Railway Component Identification](/projects/intelligent-railway-component-identification#experience).

Internship titles do not imply any additional framework, hardware or infrastructure use. Project technology references are separate from experience records.

[Portfolio skills](/#skills) · [Job Compatibility](/match.md) · [Interview Preparation](/interview.md)