content.json

{
  "meta": {
    "issue": "LIAM ABOUROUSSE — PARIS",
    "edition": "EDITION 2026 // MARITIME DATA PRODUCTS",
    "ticker_top": "",
    "ticker_bottom": ""
  },
  "hero": {
    "headline_1": "Data Products",
    "headline_2": "For Operators.",
    "body": "Software / Data Engineer in Paris building Python backends, APIs, data pipelines, and B2B SaaS tools that turn complex and operational data into decisions: optimization, pricing, capacity, reporting, internal UX, and automation.",
    "portrait": "liam-portrait-white.jpg",
    "portrait_alt": "Portrait of Liam Abourousse in a white shirt against a light wall",
    "stats": [
      {
        "num": "#1 KPMG",
        "label": "HACKATHON — 2026",
        "sublabel": "Won against 100+ teams · 350 engineering students"
      }
    ]
  },
  "philosophy": {
    "eyebrow": "Thesis Problematic",
    "headline_1": "Prototype",
    "headline_2": "To Service.",
    "body": "How can a junior engineer, augmented by generative AI but bounded by human validation, take a maritime data product - the Voyage Report - from a demonstrable prototype to a production-operated service without degrading quality or security?",
    "steps": [
      "understand",
      "frame",
      "industrialize",
      "integrate",
      "automate",
      "operate"
    ]
  },
  "projects": [
    {
      "num": "01",
      "title": "Voyage Report",
      "subtitle": "SERVER-SIDE REPORTING, SCHEDULING & PRODUCTION OPERATIONS",
      "tags": ["Python / FastAPI", "PDF Automation", "Workflow Scheduling", "Observability & RBAC"],
      "desc": "Took a weather-routing report from demonstrable prototype to operated service. Built the Python backend for server-side PDF generation, the configuration wizard, and recurring delivery, then added validation, access controls, admin monitoring, traceability, and recovery paths so operations teams could run it reliably.",
      "accent": "blue",
      "href": ""
    },
    {
      "num": "02",
      "title": "Voyage Insights",
      "subtitle": "MULTI-SOURCE MARITIME ANALYTICS & AUTOMATED REPORTING",
      "tags": ["ETL / ELT", "AIS & Metocean", "RAG Enrichment", "KPIs & Reporting"],
      "desc": "Built the end-to-end workflow for ingesting and mapping Excel/CSV voyage files, joining them with AIS and metocean data from APIs, applying analytical models and RAG enrichment, and producing validated KPIs, dashboards, exports, and PDF reports for non-technical operational users.",
      "accent": "red",
      "href": ""
    },
    {
      "num": "03",
      "title": "Maritime Analysis",
      "subtitle": "VESSEL TIME-SERIES, SPATIOTEMPORAL ANALYTICS & FORECAST VALIDATION",
      "tags": ["Time Series", "Spatiotemporal Data", "Anomaly Detection", "Forecast Validation"],
      "desc": "Engineered pipelines across AIS, navigation history, weather-ocean conditions, and vessel-performance signals: ingestion, normalization, joins, quality controls, enrichment, and anomaly detection. Used the resulting datasets to analyze ETA, energy consumption, forecast-versus-actual performance, calibration, route consistency, and operational deviations.",
      "accent": "yellow",
      "href": ""
    },
    {
      "num": "04",
      "title": "KP:AI",
      "subtitle": "KPMG INTELLIGENCIA 2026 — #1 SUPPLY-CHAIN DIGITAL TWIN",
      "tags": ["Supply Chain", "Digital Twin", "Scenario Simulation", "Optimization"],
      "desc": "Designed a decision-support digital twin that lets users simulate supply-chain scenarios and compare trade-offs across cost, lead time, and carbon emissions, with clear outputs for executive decision-making.",
      "accent": "black",
      "href": ""
    }
  ],
  "experience": [
    {
      "years": "NOV 2024 — OCT 2026",
      "role": "Software, Data & AI Engineer",
      "org": "Amphitrite",
      "subtitle": "Maritime DeepTech · École Polytechnique · Final-year apprenticeship",
      "desc": "Owned the full data-product lifecycle across discovery, functional scoping, technical design, development, testing, deployment, production monitoring, and iteration. Built Python backends and REST APIs; multi-source AIS, navigation, metocean, and vessel-performance pipelines; time-series and spatiotemporal analytics; and GenAI workflows using semantic extraction, hybrid search, RAG, and structured outputs. Delivered internal Next.js, Supabase, and SQL tooling and industrialized services with Docker, CI/CD, access controls, monitoring, and traceability for a SaaS platform used by CMA CGM, SUBSEA7, and Orange Marine."
    },
    {
      "years": "SEP 2021 — JUL 2026",
      "role": "Engineering Degree",
      "org": "EFREI Paris",
      "subtitle": "Data Engineering specialization",
      "desc": "Five-year engineering degree covering software engineering, data architecture, machine learning, cloud computing, distributed systems, and data-application development. Final thesis: From prototype to production service — delivering a maritime data product end to end with generative AI."
    }
  ],
  "skills": {
    "buckets": [
      {
        "title": "BACKEND",
        "color": "blue",
        "list": "Python, FastAPI, Flask, REST APIs, SQL, modular architecture, tests, documentation"
      },
      {
        "title": "DATA PRODUCTS",
        "color": "none",
        "list": "ETL, data quality, validation, feature engineering, KPIs, dashboards, reporting, spatiotemporal data"
      },
      {
        "title": "STORAGE & OPS",
        "color": "yellow",
        "list": "PostgreSQL, MySQL, Oracle SQL, Supabase, NoSQL, Elasticsearch, Redis, Docker, CI/CD, Grafana"
      },
      {
        "title": "FRONT & AI",
        "color": "none",
        "list": "TypeScript, JavaScript, Next.js, Vue, Angular, admin UX, LLMs, RAG, embeddings, evaluation"
      }
    ]
  },
  "recognition": [
    {
      "org": "AMPHITRITE",
      "award": "End-to-end data products for CMA CGM, SUBSEA7, and Orange Marine"
    },
    {
      "org": "KPMG FRANCE",
      "award": "KP:AI — #1 at IntelligencIA 2026 · 100+ teams · 350 engineering students"
    },
    {
      "org": "EFREI",
      "award": "Engineering degree · Data Engineering specialization · 2026"
    },
    {
      "org": "LANGUAGES",
      "award": "French and English native · Arabic fluent"
    }
  ],
  "articles": [
    {
      "kind": "MEMOIRE",
      "title": "DU PROTOTYPE AU SERVICE EN PRODUCTION — VOYAGE REPORT, IA GENERATIVE, VALIDATION HUMAINE",
      "href": "Memoire_Liam_Abourousse.pdf"
    },
    {
      "kind": "CV EN",
      "title": "SOFTWARE ENGINEER — PYTHON, DATA PRODUCTS, B2B SAAS",
      "href": "CV_SOFT_EN.pdf"
    },
    {
      "kind": "CV FR",
      "title": "SOFTWARE, DATA & AI ENGINEER — PYTHON, GENAI & DATA PRODUCTS",
      "href": "CV_SOFT.pdf"
    },
    {
      "kind": "GITHUB",
      "title": "BARDAKOR — CODE, EXPERIMENTS, PRODUCT ENGINEERING",
      "href": "https://github.com/Bardakor"
    },
    {
      "kind": "LINKEDIN",
      "title": "LIAM ABOUROUSSE — SOFTWARE, DATA & AI ENGINEER",
      "href": "https://www.linkedin.com/in/liam-abourousse/"
    }
  ],
  "contact": {
    "email": "liam.abourousse@efrei.net",
    "phone": "+33607889056",
    "github": "https://github.com/Bardakor",
    "linkedin": "https://www.linkedin.com/in/liam-abourousse/",
    "cv_en": "CV_SOFT_EN.pdf"
  },
  "footer": {
    "left": "© 2026 LIAM ABOUROUSSE",
    "right": "PARIS // DATA PRODUCTS // MARITIME OPS"
  }
}