Description

I am a software engineer with strong experience in distributed/data systems.

I have worked on a wide range of software systems, ranging from low-level embedded systems, to saas backend to data engineering.

I currently working on big data pipelines for ads delivery at Criteo.

I have worked with the following languages Python, C++, Scala and Go.

My skills and expertise are on the mix backend and data ops.

Let's discuss how we can work together.

Languages

English
Native or bilingual
French
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km)

Criteo
Software Engineer | Data
E-COMMERCE
October 2024 - Today (1 year and 8 months)
Paris, France
Designed and implemented an automated bid reset system for real-time ad auctions, optimizing daily budget
allocation strategies—improved campaign budget utilization by 5% through intelligent bid level adjustments at
day-start intervals.
Architected and optimized ETL pipelines using SQL and Spark to ingest and transform high-volume 3rd party
attribution data into the company's sales attribution framework.
Built a comprehensive monitoring infrastructure for ML-based forecasting API using MAPE/SMAPE metrics and
Tableau dashboards. Continuously tracked prediction accuracy for page view forecasting models, enabling
data-driven optimization of ML service performance
SQL Spark ETL (Extract, Transform, Load) Processes Hadoop Hive
Heex Technologies
Software Engineer
November 2022 - September 2024 (1 year and 10 months)
Paris, France
• Architected and implemented an automated deployment system for edge applications that reduced installation time by 70% and eliminated common configuration errors across 100+ robot deployments.
• Built a comprehensive CLI toolkit in Go that automated common operational tasks, reducing data retrieval time from minutes to seconds and improving client productivity.
• Engineered high-performance data collection services in Go/C++
• Participated in efforts to enhance database performance by implementing caching strategies and optimizing indexes.
• Spearheaded the development of a modern documentation platform using Docusaurus, resulting in 40% faster search times through Algolia integration and improved developer onboarding.
• Implemented OpenTelemetry integration package that tracked CPU and memory utilization across robot fleets, enabling real-time resource monitoring through custom Grafana dashboards
• Led company-wide migration from JSON to Protobuf, reducing payload size and enforcing type safety across service interfaces
Connected Car Data Platform
Software Engineer
January 2019 - October 2022 (3 years and 9 months)
Paris, France
• Engineered a specialized data pipeline that captured and processed real-time telemetry data from the test vehicle fleet using AWS IoT Core
• Developed ETL workflows with AWS Glue to transform vehicle sensor data into simulation-ready formats, enabling accurate vehicle behavior modeling
• Implemented efficient C++ algorithms for sensor fusion with minimal memory footprint, optimizing for embedded automotive hardware constraints
• Developed a comprehensive performance monitoring system to track and analyze system latencies across vehicle test runs