{
  "profile": {
    "name": "Achref SOUA",
    "initials": "AS",
    "role": "ML Engineer",
    "location": "Paris, France",
    "status": "Open to new opportunities",
    "image": "assets/achref_soua_picture.png",
    "imageAlt": "Portrait of Achref SOUA",
    "intro": "I build production ML systems — vector search in Rust, 3D medical imaging, and LLM agents.",
    "summary": "ML Engineer with ~3 years across medical imaging, LLM systems, and open-source infrastructure. I close the gap between research-grade models and production-ready systems: 3D vascular segmentation for surgical planning, multi-agent RAG on AWS, and a security-first vector database in Rust that benchmarks 2nd on SIFT1M."
  },
  "metrics": [
    {
      "value": "3+",
      "label": "Years shipping production ML systems"
    },
    {
      "value": "94%",
      "label": "Dice — 25-structure vascular segmentation at PrediSurge"
    },
    {
      "value": "32×",
      "label": "RAM reduction in Quiver vs dense HNSW at 10M vectors"
    },
    {
      "value": "1st",
      "label": "Cardiac MRI diagnosis competition (100 participants)"
    }
  ],
  "focusAreas": [
    {
      "title": "Systems & Search",
      "description": "Vector databases, high-performance ANN (HNSW, DiskANN, IVF), SIMD kernels, and memory-efficient data structures — in Rust."
    },
    {
      "title": "Medical Imaging",
      "description": "3D segmentation, DICOM/NIfTI/VTK pipelines, multi-label anatomical models, clinical decision support."
    },
    {
      "title": "LLM & Agents",
      "description": "Multi-agent systems, RAG, long-term memory, MCP servers, and production deployment on AWS."
    }
  ],
  "contact": {
    "email": "achref.soua@outlook.com",
    "github": "https://github.com/achref-soua",
    "linkedin": "https://www.linkedin.com/in/achref-soua/",
    "medium": "https://achref-soua.medium.com/",
    "githubAvatar": "assets/github-avatar.png"
  },
  "experience": [
    {
      "company": "PrediSurge",
      "role": "ML Engineer",
      "location": "Saint-Étienne, France",
      "range": "Oct 2025 – Present",
      "summary": "Building medical imaging infrastructure for endovascular surgery planning — from raw CT scans to stent recommendations.",
      "highlights": [
        "Automated DICOM→NIfTI pipeline with quality-based series selection, eliminating manual CT sorting for the ISizing product.",
        "Trained 25-structure vascular segmentation model — 94% global Dice across complex aortic anatomy.",
        "VTK sizing pipeline: 3D meshes + centerlines → per-label diameters, volumes, angulation, and tortuosity in ~1 min/case.",
        "Stent recommendation engine for visceral arteries fed by the sizing output.",
        "Central data registry (NIfTI + metadata) versioned with DVC for reproducible training sets."
      ],
      "tools": ["PyTorch", "VTK", "DICOM", "NIfTI", "DVC", "3D Segmentation", "Python"]
    },
    {
      "company": "Moovto",
      "role": "ML Engineer",
      "location": "Paris, France",
      "range": "Jan 2025 – Sept 2025",
      "summary": "Built a multi-agent FinOps assistant that cut cloud cost analysis time from hours to minutes.",
      "highlights": [
        "Designed LangGraph agents for modular cost analysis, forecasting, and optimization recommendations.",
        "Optimized long-term memory for multi-turn dialogue — +23% coherence on internal benchmarks.",
        "Deployed serverless stack on AWS Lambda, S3, and Bedrock with full CI/CD."
      ],
      "tools": ["LLaMA 3", "LangGraph", "AWS Lambda", "AWS Bedrock", "FastAPI", "CI/CD"]
    },
    {
      "company": "Intellect Core SARL",
      "role": "ML Engineer",
      "location": "Grombalia, Tunisia",
      "range": "Nov 2023 – Dec 2024",
      "summary": "Designed vector search infrastructure and shipped a production RAG chatbot that cut support tickets by 50%.",
      "highlights": [
        "End-to-end vector database and RAG chatbot (LangChain) deployed serverless on AWS.",
        "Integrated open-source models (LLaMA 2, LeoLM) and proprietary APIs (GPT-4, Mistral).",
        "−50% support tickets after launch."
      ],
      "tools": ["RAG", "LangChain", "LLaMA 2", "GPT-4", "Mistral", "AWS", "Vector Databases"]
    }
  ],
  "education": [
    {
      "institution": "ESPRIT – École Supérieure Privée d'Ingénierie et de Technologies",
      "degree": "Engineering Degree in Computer Science (AI specialization)",
      "range": "Sept 2020 – Aug 2023",
      "location": "Tunis, Tunisia"
    },
    {
      "institution": "Faculty of Sciences of Monastir",
      "degree": "Preparatory Cycle – Physics and Chemistry",
      "range": "Sept 2018 – Jul 2020",
      "location": "Monastir, Tunisia"
    }
  ],
  "skills": [
    {
      "group": "Languages",
      "items": ["Python", "Rust", "TypeScript", "SQL", "C++"]
    },
    {
      "group": "LLM & Agents",
      "items": ["LangChain", "LangGraph", "RAG", "Multi-agent", "MCP", "Embeddings", "Groq", "Hugging Face", "Prompt Engineering"]
    },
    {
      "group": "ML & Vision",
      "items": ["PyTorch", "TensorFlow", "scikit-learn", "3D Segmentation", "DICOM / NIfTI", "VTK", "ONNX", "XGBoost", "OpenCV"]
    },
    {
      "group": "Vector Search",
      "items": ["HNSW", "DiskANN", "IVF", "Quantization", "SIMD", "pgvector", "ChromaDB"]
    },
    {
      "group": "MLOps & Cloud",
      "items": ["AWS (Lambda, S3, Bedrock)", "Docker", "Kubernetes", "CI/CD", "DVC", "Temporal", "FastAPI"]
    },
    {
      "group": "Data",
      "items": ["ClickHouse", "PostgreSQL", "Redis", "Redpanda", "Prisma", "SQLModel"]
    }
  ],
  "publications": [
    {
      "title": "Improved Bionic Leg with AI",
      "authors": "Soua, A., Charfi, B., and Riahi, M. H.",
      "venue": "10th International Conference on Green Energy and Environmental Engineering",
      "year": "2024"
    }
  ]
}