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Achievement: Pull Sharkx2Achievement: Pair Extraordinairex2

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scaleborg/README.md

Hi, I'm Adrien. LinkedIn

Paris-based data / ML systems engineer, freelancing through Scaleborg.
I build production-grade systems across batch and streaming: from data ingestion to analytical serving and ML inference.

Focus

  • Batch + streaming data systems
  • CDC pipelines and event-driven architectures
  • Analytical layers and data modeling
  • ML pipelines (feature generation → inference APIs)
  • System reliability: consistency, observability, clear boundaries

Core stack

Data & Streaming
Python, SQL, PostgreSQL, Kafka, Flink, Debezium, dbt, DuckDB

Infrastructure
Docker, Terraform, GCP, AWS

ML & Serving
scikit-learn, LightGBM, FastAPI

Extended stack

Data Engineering & Modern Data Stack

Python SQL PostgreSQL dbt Spark Airflow Dagster Kafka Flink Apache Beam Debezium Airbyte Trino DuckDB Redis Databricks Snowflake BigQuery Iceberg Delta Lake Apache Hudi Terraform GCP AWS Docker Helm Prometheus Grafana OpenTelemetry

ML & MLOps

From feature engineering to model serving and monitoring.

PyTorch Scikit-learn Hugging Face MLflow Weights & Biases DVC Ray Evidently Feast FastAPI Triton SageMaker Vertex AI Kubernetes

Selected Project

ml-platform-portfolio

Production-grade ML platform for real-time decisioning.

Layered architecture (P1 → P7): ingestion → feature pipeline → feature store → training → serving → monitoring → decisioning

→ https://github.com/scaleborg/ml-platform-portfolio

Pinned Loading

  1. ml-platform-portfolio ml-platform-portfolio Public

    Production-grade ML platform portfolio for real-time decisioning systems.

  2. ml-training-orchestrator ml-training-orchestrator Public

    ML training system with feature store integration, model selection, MLflow registry, and inference bundle packaging

    Python

  3. mobility-feature-pipeline mobility-feature-pipeline Public

    P2 — Feature Pipeline for real-time mobility ML system (point-in-time feature engineering)

    Python

  4. mobility-feature-store mobility-feature-store Public

    Minimal feature store with point-in-time correctness and offline/online parity (DuckDB, FastAPI).

    Python

  5. mobility-serving-layer mobility-serving-layer Public

    P5 — Online serving layer for the mobility ML platform

    Python

  6. urban-mobility-control-tower urban-mobility-control-tower Public

    P1 — Control Tower for real-time mobility decisioning system (stream processing + operational surface)

    Python