cv
A comprehensive overview of my professional experience, education, and skills. This page includes a downloadable PDF version of my CV for easy access.
Basics
Name | Ibrahim Ouedraogo |
Label | Head of Artificial Intelligence and Data Analytics |
brahim.oued@gmail.com | |
Phone | (+226)61006261 |
Url | https://ibrahimoued.github.io |
Summary | I am a highly skilled and experienced professional with a strong background in artificial intelligence, data analytics, and software development. I have a proven track record of leading teams to deliver innovative solutions that drive business success. |
Work
-
2022.07 - 2025.01 Data Science Manager
Centre MURAZ (National Institude of Public Health)
Led data operations for the Afroscreen project, developing ETL pipelines and interactive dashboards for public health surveillance. I also managed a multidisciplinary data team and collaborated cross-functionally to enable evidence-based interventions.
- Led data operations for the Afroscreen project, ensuring integrity, security, and accessibility across public health surveillance systems.
- Developed and maintained scalable ETL pipelines to automate the integration of laboratory, field, and genomic data.
- Built interactive dashboards using Power BI and Tableau to track key epidemiological KPIs and support real-time policy decisions.
- Managed a multidisciplinary data team (statisticians, data managers, collection agents), fostering collaboration and capacity building.
- Worked cross-functionally with technical, clinical, and policy stakeholders to streamline data flows and enable evidence-based interventions.
-
2021.06 - 2022.06 Senior Machine Learning Engineer
KREEZUS SAS
I led the full lifecycle of AI initiatives, from translating operational needs into machine learning use cases and integrating LLMs for knowledge extraction, to developing reusable MLOps workflows with CI/CD, and contributing to AI strategy and governance for responsible deployment.
- Collaborated with technical leads and business units to translate operational needs into machine learning use cases with measurable development impact.
- Integrated large language models (LLMs) and NLP pipelines for knowledge extraction from unstructured policy and financial documents.
- Developed reusable MLOps workflows with CI/CD pipelines for model training, validation, and deployment on cloud-native infrastructure.
- Contributed to AI strategy, including model governance, ethical AI standards, and responsible use frameworks aligned with public-sector accountability.
-
2018.05 - 2021.05 Core Network Engineer
HUAWEI Technologies
I was responsible for analyzing and reporting on resource usage of Huawei core network equipment, assisting with 4G core network planning and deployment for TELECEL FASO, and monitoring, optimizing, and securing network performance.
- Conducted in-depth analysis and reporting of resource usage on Huawei core network equipment to support capacity planning.
- Assist the planning and deployment of the 4G core network infrastructure for TELECEL FASO in collaboration with national stakeholders.
- Monitored and optimized network performance parameters to ensure high availability, low latency, and secure connectivity.
- Performed log analysis and proactive detection of security incidents across core systems to support network integrity.
Education
-
2024.01 - 2024.09 Montreal, Canada
PhD
University of Montreal
Artificial Intelligence and Software Engineering
- Machine Learning
- Formal Methods in Software Engineering
- Advanced Algorithms
- Deep Learning
- Natural Language Processing
-
2019.09 - 2021.06 Ouagadougou, BF
Master
Virtual University of Burkina Faso
Data Mining and Artificial Intelligence
- Machine Learning
- Deep Learning
- Reinformcement Learning
- Natural Language Processing
- Computer Vision
- Data Mining
- Artificial Intelligence
- Big Data Analytics
- Data Visualization
Awards
- 20216.12.21
3rd Best GenieTIC Project Award
Ministry of Innovation and Technology
Awarded for the project on mobile application development for accelerating the digitalization of small and medium-sized businesses in Burkina Faso.
Certificates
AI Agents Courses | ||
Hugging Face | 2025-05-20 |
Skills
Artificial Intelligence | |
Machine Learning | |
Deep Learning | |
Reinforcement Learning | |
Natural Language Processing | |
Computer Vision | |
Data Mining | |
Big Data Analytics | |
Data Visualization |
Data Engineering | |
Data Warehousing | |
ETL Processes | |
Data Pipelines | |
Big Data Technologies | |
Data Governance | |
Data Quality Management |
Software Development | |
Software Architecture | |
Microservices | |
Kubernetes | |
Docker | |
APIs | |
Cloud Computing | |
Agile Methodologies | |
DevOps Practices |
Languages
French | |
Native speaker |
English | |
Fluent |
Interests
Artificial Intelligence | |
Machine Learning | |
Deep Learning | |
Reinforcement Learning | |
Natural Language Processing | |
Computer Vision | |
Data Mining | |
Big Data Analytics | |
Data Visualization |
Data Engineering | |
Data Warehousing | |
ETL Processes | |
Data Pipelines | |
Big Data Technologies | |
Data Governance | |
Data Quality Management |
AI agents, Multi-Agent Systems and Autonomous Systems | |
Intelligent Agents | |
Multi-Agent Systems | |
Autonomous Systems | |
Reinforcement Learning | |
Game Theory | |
Distributed AI |
Data Science | |
Statistical Analysis | |
Predictive Modeling | |
Data Visualization | |
Business Intelligence | |
Machine Learning Algorithms | |
Data-Driven Decision Making |
Machine Learning and Deep Learning | |
Supervised Learning | |
Unsupervised Learning | |
Neural Networks | |
Convolutional Neural Networks | |
Recurrent Neural Networks | |
Transfer Learning |