Zakaria Sassioui
AI & Data Architect
I architect data and AI products that turn fragmented information into useful decisions, reliable workflows, and software people can actually operate.
Discuss a projectStrategy, architecture, and production engineering, connected from the first decision to the live system.
Cofounder & CTO
At AdsToCash, I lead the technical architecture and development of the optimization engine that turns campaign data into explainable, controllable, and executable budget decisions.
Where I work
The engagement can start with one difficult problem or cover the full path from data collection to a production system.
01
I design pipelines that collect, structure, and refresh data from multiple web sources. These systems can observe markets, compare offerings, detect changes, and supply data to analytics, matching, and decision tools.
02
I design systems that connect similar data even when descriptions, formats, or attributes differ. They combine natural language processing, computer vision, and similarity models to compare text and images, improve search, and produce relevant recommendations.
03
Move from historical reporting to models for forecasting, scoring, segmentation, and prioritization. The work includes evaluation, deployment, and the monitoring needed after launch.
04
Design cloud architectures, integrations, orchestration, and agent workflows that connect to real business processes. Every automated step keeps a clear owner, boundary, and fallback.
Selected work
The relationship is stated on every project. Employment, employer-delivered work, ventures, instruction, and collaboration are not interchangeable.
Ads to Cash · Current venture · Cofounder and CTO
Leading product and technology direction, including system architecture, AI agent workflows, automation, and the path from experimentation to production.
Product strategy · AI architecture · agents · automation
La Presse · Employment · Senior Data Scientist · 2022-2024
Work included semantic search, article similarity and recommendations, audience segmentation, donation prediction, internal AI tools, and cloud cost analysis.
Python · Snowflake · AWS · OpenSearch · applied ML
Planifika · Employment · Data Science and R&D · 2019-2022
Led and structured applied R&D work involving computer vision, heuristic optimization, reporting automation, and analytics for infrastructure planning.
Python · TensorFlow · computer vision · Power BI · Azure
Radio-Canada · Hackathon and project experience · 2018-2019
Developed a prototype pipeline that moved from speech recognition and language processing to script creation and visual generation.
Speech-to-text · NLP · Node.js · Azure · Docker
THE UN KNOWN · AI and data leadership role · since 2025
Work focuses on AI product development, internal knowledge systems, multi-agent orchestration, automation, and R&D planning.
LLM orchestration · RAG · automation · product architecture
Experience
Across data science, applied AI, entrepreneurship, projects, and teaching.
La Presse
Planifika
Ville de Lévis
Ville de Sherbrooke
Port de Montréal
ARTM
Ads to Cash
THE UN KNOWN
Radio-Canada
Cégep de Lévis
Recognition and contribution
Speaking and teaching are part of the practice: they force the work to be clear, useful, and open to scrutiny.
Designed the content for a 60-hour generative AI course for businesses and taught the first cohort at Cégep de Lévis in 2026.
Presented practical lessons from building semantic search in a production media environment.
Academic excellence recognition during the 2017-2018 master's period, as recorded in the existing professional résumé.
Start with the decision
A useful first conversation covers the decision, available data, operational constraints, and what success must look like inside your organization.
zakaria@zakariasassioui.comMontréal, Québec
6795 Rue Marconi, Suite 200, Montreal, Quebec H2S 3H8