Data & AI Engineer — Paris, France
Amine
Bousmah.
Engineer at the intersection of data, business and product.
Three years bridging analytics, business strategy and project leadership — from €100M revenue forecasts to BI systems on a €5B public budget. I turn complex data into decisions teams can act on, and ship the systems behind them.
Selected Work
Vinted Extension
Smart auto-repost to boost visibility
Browser extension that automates listing republication to leverage Vinted's algorithmic boost. Built around safe scheduling, anti-duplicate logic and local anti-tracking — designed for sellers who want consistent visibility without the manual grind. End-to-end product work: research, UX trade-offs, distribution and iteration.
Tribara
Talent matching optimization
AI-powered recruitment platform that automates candidate screening and ranking. CV parsing and a fine-tuned NLP scoring algorithm slot directly into existing ATS workflows, helping recruiters spend their time on conversations rather than spreadsheets — with measurable lift in shortlist quality.
Face Recognition
Find every photo of a person in an album
Upload a few reference photos to automatically retrieve every occurrence of a person across a large event album. RetinaFace + ArcFace embeddings indexed with FAISS scale to tens of thousands of images — built for team buildings, seminars and family archives where manual sorting is unrealistic.
11Field
Football analytics & scouting suite
End-to-end scouting toolkit covering xG/xGA, role-based radars, league comparators, match reports and player similarity. ML models for clustering and SHAP explainability turn raw match data into recruitment-ready insights — analyzing 50,000+ events and 1,000+ player profiles across 12 leagues.
— A working principle
Decisions,
not dashboards.
Skills
Data Engineering & Analytics
Foundations for reliable data systems.
- —ETL/ELT with Python & SQL; orchestration with dbt & Airflow.
- —Star/snowflake modeling and essential warehousing patterns.
- —Data validation and tests with clear SLAs/expectations.
- —Query optimization fundamentals and cost-aware thinking.
- —Small streaming prototypes (Kafka) + batch/stream joins.
Machine Learning & Modeling
Pragmatic ML with strong evaluation discipline.
- —Solid baselines (linear, tree-based) before complex models.
- —Time-series forecasting (ARIMA/Prophet, boosting) when useful.
- —Feature pipelines with leakage-safe cross-validation.
- —Explainability (SHAP/feature importances) and readable model cards.
- —Experiment tracking (MLflow) and packaging models for APIs.
BI & Data Visualization
Make results clear, trusted, and actionable.
- —Defined KPIs and a simple semantic/metric layer.
- —Interactive dashboards with filters and drill-through.
- —Data storytelling: annotations, small multiples, clear legends.
- —Row-level security basics and governance-ready layouts.
- —Scheduled refreshes, exports, and lightweight QA checks.
Application Design & API
Product-minded developer focused on clean services.
- —DDD-lite: clear module boundaries and dependency rules.
- —REST APIs (FastAPI/Flask) with typed schemas and OpenAPI.
- —Auth (JWT/OAuth2), input validation, and error handling.
- —Background jobs (Celery/RQ), file ingestion, async I/O.
- —Frontend integration with React/Next and reusable UI patterns.
Cloud & DevOps
Ship small, observe, and iterate.
- —Containerized dev with Docker; reproducible environments.
- —CI/CD (GitHub Actions): tests, linting, type checks.
- —Deploy on Vercel/Cloud Run; env & secrets management.
- —Basic monitoring (logs/metrics/traces) and alerting.
- —Cost awareness and usage-based scaling (serverless first).
Business & Project Management
Bridging engineering, stakeholders and strategy.
- —Agile project management with Git, Jira and Notion across cross-functional squads.
- —Stakeholder alignment: Distribution, Revenue, Finance and Operations.
- —Requirement gathering, roadmap shaping and clear written communication.
- —Training & adoption programs — measured impact on tool usage and autonomy.
- —Finance & budget literacy: forecasting, variance analysis, KPI design.
Contact
Let's build
something
meaningful.
Looking for a Data & AI engineer who can bridge technical depth with clear communication and ship things that genuinely matter? Let's talk.