I love nature...
A summer view at the Old Port of Montreal, Montreal, Canada.
... and unique moments
Solar eclipse 3:27 p.m. at the Saint Joseph's Oratory of Mount Royal, Montreal, Canada.
I find peace in beauty...
Colorful wooden warehouses from the Gamle bybro, Trondeim, Norway.
... in beautiful landspaces
Morning calm on the Kanalen crossing the Nidelva River, Trondheim, Norway.
... when cities breathe the sea
Gray afternoon at Queens Wharf, Auckland, New Zealand.
... and the sky whispers goodbye.
Reddish sunset at 8:06 p.m. over the Capital, Ottawa, Canada.
Henri Aïdasso is a Ph.D. Researcher in Computer Engineering at École de technologie supérieure (ÉTS), University of Quebec, in Canada. He works as part of the ÉTS Industrial Research Chair in DevOps under the supervision of Prof. Francis Bordeleau, focusing on AI-powered improvement of software process reliability. He is also a Mitacs Accelerate Fellow affiliated with TELUS, where he conducts applied AI research to improve the efficiency and reliability of CI/CD pipelines in the context of distributed systems.
His PhD topic falls under the area of Intelligent DevOps research, aimed at finding new ways of improving software processes using efficient Artificial Intelligence (AI) and Machine Learning (ML) algorithms. As such, Henri has developed expertise in NLP techniques for processing and representing dense and heterogeneous textual logs, as well as in applying Language Models, ML Models, and Statistical Analysis to derive insights from process data and enable intelligent automation.
Henri has been awarded the prestigious Arbour Foundation Doctoral Scholarship in recognition of his continued academic execellence, leadership, and social impact.
Parallel to his doctoral studies, Henri is a part-time Lecturer at École de technologie supérieure (ÉTS) and a Research and Development Intern at the Computer Research Institute of Montreal (CRIM), where he contributes to a range of applied AI research projects. In his spare time, he explores innovative approaches to make NLP more efficient in low-resource settings, which also led him to take an interest in speech processing.
Before moving to Canada, he was a Data Scientist at Energiency in France, where he leveraged ML and Deep Learning to reduce energy consumption in large European industry 4.0 factories. In that role, he led multiple ML Engineering projects, developing the cloud-based AI backend for distributed training and real-time inference workflows for dozens of customer-specific models used daily in production. He has also developed several in-house data science Python librairies to foster best practices and reusability.
From Benin to his time in France, he developed strong and diverse software engineering skills, accumulating over half a decade of experience working in organizations such as Worldline, Port Authority of Cotonou, Rintio, JMA Plus, Dis-moi Doc, and KkiaPay, where he contributed to technological innovations across the healthcare, education, administration and finance sectors. He honed his skills in efficient, robust backend engineering and DevOps, along with advanced programming, architecture patterns, and database systems knowledge, which he now leverages in his research.
Now in fourth year, Henri is pursing a Ph.D. in Computer Engineering at École de technologie supérieure (ÉTS) in Canada, during which he has been awarded the highly selective Arbour Foundation Doctoral Scholarship. Since 2022, he holds a Master of Science (M.Sc.) in Big Data: Decision Support and Machine Learning from the University of Rennes I in France, graduating as valedictorian with the highest french academic honors, i.e. mention Très Bien. During his master, he gained strong theoretical foundation in machine learning and deep learning algorithms, along with advanced skills in efficiently managing and processing large-scale data. In 2020, he earned a Bachelor of Science (B.Sc.) in Computer Science from the University of Rennes I, also graduating as valedictorian with the highest honors. Prior to that, he graduated top of his class in 2017 with a Bachelor of Science (B.Sc.) in Computer Science and Management from the University of Abomey-Calavi in Benin. He was then a government excellence scholar and received the trophy of excellence awarded to the best student in computer science applied to management for outstanding academic performance.
Semi-finalist over 54 teams at the MIFY AI Contest. AI implementation of a Seega board game's player, using minimax alpha-beta pruning algorithms.
Adversarial Search - Monte Carlo Tree Search implementation of player agent for the Fanorona board game.
Health service android application with instant chat, drug prices, medication reminders, etc. More than 10k registered users and 15k downloads on the Google Play Store.
A lightweight Node.js based microservice for rapid integration of instant messaging into an application stack.
Web-based cash management and analysis platform for businesses.
Built a Machine Learning classifier for bugs prediction at file level, using metrics data collected from several sources.
Machine Learning computer vision project to classify arabic digits images using several machine learning models.
Short-term forecast methods course final project, prediction of house price Time-Series.
Development of a python search engine base on term frequency-inverse document frequency (TF-IDF) and cosine similarity.
Distributed Information System project of building a Kanband board application using Java JAX-RS, Vue.js, MySql, Docker and docker-compose.
Competition and cooperation in systems and networks project implemented in Java that simulates the competition problems of ocean life.
Android service and graphical interface development for fetching weekly Rennes' transports schedules open data and display it. (Android Studio, Sqlite, Kotlin).