AHMED SELMI
Luxembourg
Summary
Experienced with leading technical teams and managing software development projects. Utilizes in-depth knowledge of programming and system architecture to streamline processes. Track record of fostering team collaboration and achieving project milestones effectively.
Overview
9
9
years of professional experience
Work History
Senior Data Platform Engineer
Spire Global
Luxembourg
09.2023 - 03.2026
- Developed and launched a comprehensive data platform to enhance data analytics capabilities.
- Created robust ETL solutions to ensure consistency and efficiency in data processing operations.
- Developed and established RAG LLM solution architecture to ensure alignment with compliance standards.
- Engineered automated solutions to streamline analysis and improve efficiency in satellite radio communication.
ML/Data Tech Lead
CodeSignal
Luxembourg
04.2023 - 10.2023
- Led the Data team, implementing MLOps practices for ML model deployment.
- Designed industry-grade ML assessments and refined evaluation pipelines.
- Built automated ML training pipelines with continuous validation.
Senior Machine Learning Engineer
Spire Global
Luxembourg
09.2022 - 03.2023
- Developed a high-performance PyTorch-based weather forecasting system.
- Built real-time streaming pipelines for aviation and environmental data.
- Led a research project with the European Space Agency on forecasting.
- Provided technical mentorship for the aviation ML project, ensuring a strong technical solution.
Head of Architecture Data Science
X-Cite S.A.
Luxembourg
07.2019 - 09.2021
- Led a diverse engineering team in developing and maintaining ETL pipelines across multiple systems.
- Engineered scalable cloud-native IoT applications, optimizing data ingestion and processing.
- Designed real-time streaming solutions for BigQuery and large-scale analytics.
R&D Data Science Lead
Integration Objects
Tunis, Tunisia
02.2017 - 05.2019
- Focused on machine learning prototyping and testing for industrial applications.
- Developed anomaly detection models and drift detection systems for industrial processes.
- Led projects in time-series forecasting and multivariate clustering techniques.
Education
Mathematics And Physics
Institut Préparatoire Aux Études D’Ingénieurs De Tunis
Tunis07-2014
Preparatory Classes for Engineering Studies - Mathematics And Physics
Institut Préparatoire Aux Études D’Ingénieurs De Tunis
Tunis07-2014
Skills
- Python
- Golang
- Apache Spark
- Airflow
- Databricks
- Terraform
- Docker
- Kubernetes
- BigQuery
- AWS
- GCP
- PostgreSQL
- Snowflake
- MLOps
- CI/CD
- Linux
- Kafka
- REST APIs
- GraphQL
- Redis
- Elasticsearch
- GitLab CI
- Cloud infrastructure management
LANGUAGES
English
French
Arabic
Luxembourgish
Timeline
Senior Data Platform Engineer
Spire Global
09.2023 - 03.2026
ML/Data Tech Lead
CodeSignal
04.2023 - 10.2023
Senior Machine Learning Engineer
Spire Global
09.2022 - 03.2023
Head of Architecture Data Science
X-Cite S.A.
07.2019 - 09.2021
R&D Data Science Lead
Integration Objects
02.2017 - 05.2019
Mathematics And Physics
Institut Préparatoire Aux Études D’Ingénieurs De Tunis
Preparatory Classes for Engineering Studies - Mathematics And Physics
Institut Préparatoire Aux Études D’Ingénieurs De Tunis
MY LIFE PHILOSOPHY
“Strive for excellence, not perfection, and embrace lifelong learning.”
MOST PROUD OF
- Scalable Data Platforms
- Designed and implemented highly scalable ETL pipelines and ML workflows.
- Cloud Migration Success
- Led the migration of 20TB of data from Hadoop to cloud, optimizing performance and cost.
- MLOps Implementation
- Developed automated ML pipelines improving efficiency and deployment speed.
STRENGTHS
- Problem Solver
- Scalable Systems Architect
- Mentor and Leader
- Machine Learning
- Cloud Infrastructure
- Data Engineering
A DAY OF MY LIFE
- Work on Data & ML Engineering
- Mentoring & Reviews
- Learning and Research
- Gym & Outdoor Walks
- Personal Projects and Reading
- Sleep and Rest
PUBLICATIONS
- Journal Articles
- A. Hidri, A. Selmi, and M. S. Hidri, “Discovery of frequent patterns of episodes within a time window for alarm management systems,” IEEE Access, vol. 8, pp. 11061–11073, 2020. DOI: 10.1109/ACCESS.2020.2965647.
- Conference Proceedings
- I. Nouira, O. Boughzala, A. Selmi, and M. H. Bedoui, “Brain tumor detection using convolutional neural network,” in 2023 IEEE 11th International Conference on Systems and Control (ICSC), 2023, pp. 282–287. DOI: 10.1109/ICSC58660.2023.10449731.