About Me
I'm a nature lover.
A view of the Old Port of Montreal at Montréal, Québec, Canada.
Summary
Henri Aïdasso is a Ph.D. Student, working as part of the Computer Systems Architecture Laboratory at ÉTS Montréal. He is exploring in his researches, new ways to improve DevOps processes by taking leverage of data collected from industrials partners and Artificial Intelligence: Intelligent DevOps. His work is undertaken in the context of the Kaloom-TELUS Industrial Research Chair and conducted under the supervision of Pr Francis Bordeleau.
Prior to that, he worked at Energiency using Artificial Intelligence to improve energy performance in industries 4.0: timeseries forecast, golden batch analysis, and digital twins modeling. He has also developed several company-specific data science projects and packages within the team, including their latest cloud-based applications stack for serving AI models.
He is a Software Engineer with seven years of experience and has developed his skills around fullstack web and android development, DevOps practices, and cloud-based applications. He has advanced knowledge of design patterns, architecture patterns and databases.
Formation
Since fall 2022, Henri is a doctoral student in Computer Engineering at ÉTS Montréal, University of Québec in Canada.
Just before that, he graduated top of his class with a Master of Science in Big Data: Business Intelligence and Machine Learning in 2022 from the University of Rennes 1 in France, which he completed as a work-study program at Energiency.
In 2020, he earned a Bachelor of Science in Computer Science from the University of Rennes 1 and graduated as valedictorian of his class,
one year after leaving Benin for France.
Prior to that, he worked during a year as a freelance software engineer after graduating in 2017 with a bachelor's degree in Computer Science applied to Management from the University of Abomey-Calavi in Benin. He was a government scholar holder, finished valedictorian of his class, and received the trophy of excellence awarded to the best student in computer science applied to management.
Curriculum Vitae
Some projects
Chat microservice
A lightweight microservice for rapid integration of instant messaging into an application stack.
iTresorerie
Web-based cash management and analysis platform for businesses.
Dis-moi Doc !
Health service android application with instant chat, drug prices, medication reminders, etc.
Fanorona AI Agent
Adversarial Search - Monte Carlo Tree Search implementation of player agent for the Fanorona board game.
Seega AI Agent - MAIC 2018
Implementation of Seega board game's AI player, using minimax alpha-beta pruning algorithms for MIFY AI Contest. Semi-finalist over 54 teams.
Some academic projects
Apache Hive bugs prediction
Built a Machine Learning classifier for bugs prediction at file level, using metrics data collected from several sources.
Arabic digits classification
Machine Learning computer vision project to classify arabic digits images using several machine learning models.
Houses price prediction
Short-term forecast methods course final project, prediction of house price Time-Series.
Cosine based search engine
Development of a python search engine base on term frequency-inverse document frequency (TF-IDF) and cosine similarity.
Kanban board web application
Distributed Information System project of building a Kanband board application using Java JAX-RS, Vue.js, MySql, Docker and docker-compose.
Simplistic simulation of some aspects of ocean life
Competition and cooperation in systems and networks project implemented in Java that simulates the competition problems of ocean life.
Rennes transport schedules application
Android service and graphical interface development for fetching weekly Rennes' transports schedules open data and display it. (Android Studio, Sqlite, Kotlin).