About Me
I'm a nature lover.
A view at the Old Port of Montreal at Montréal, Québec, Canada.
Summary
Henri J. Aïdasso is Ph.D. Student in Software and Computer Engineering at École de technologie supérieure (Canada), working in the Kaloom-TELUS Industrial Research Chair in DevOps under the supervision of Prof. Francis Bordeleau. As part of his research works, he is exploring Intelligent DevOps approaches, i.e. new ways to improve DevOps processes using Artificial Intelligence (AI) and heterogeneous - textual logs and tabular - data available in software repositories. He is also a Mitacs Accelerate Fellow, working at TELUS on its network softwarisation DevOps processes. Prior to that, he worked for two years at Energiency in France, using AI to reduce energy consumption in industry 4.0 factories. In that role, he developed a cloud-based applications stack for deploying ML models, used daily for real-time training and predictions of dozens models across the teams. He has also developed several company-specific data science librairies to foster best practices and reusability. Before Energiency, Henri was a Software Engineer with 7+ years of experience across organizations in multiple domains including healthcare, education, and finance. He developed his skills around fullstack web and mobile development and DevOps practices. He has advanced knowledge of design patterns, architecture patterns, and databases.
Formation
Henri is currently a Ph.D. Student in Computer Engineering at École de technologie supérieure in Canada. He hold (graduating top of his class in 2022) a Master of Science in Big Data: Business Intelligence and Machine Learning from the University of Rennes 1 in France. In 2020, he earned a Bachelor of Science in Computer Science from the University of Rennes 1, also graduating as valedictorian. Prior to that, he graduated top his class in 2017 with a Bachelor of Science in Computer Science applied to Management from the University of Abomey-Calavi in Benin. He was a government scholar holder, and received the trophy of excellence awarded to the best student in computer science applied to management.
Curriculum Vitae
Some projects
Dis-moi Doc !
Health service android application with instant chat, drug prices, medication reminders, etc.
Chat microservice
A lightweight microservice for rapid integration of instant messaging into an application stack.
Seega AI Agent - MAIC 2018
AI implementation of a Seega board game's player, using minimax alpha-beta pruning algorithms for MIFY AI Contest. Semi-finalist over 54 teams.
Fanorona AI Agent
Adversarial Search - Monte Carlo Tree Search implementation of player agent for the Fanorona board game.
iTresorerie
Web-based cash management and analysis platform for businesses.
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).