Aurelien L.
Data & Cloud Architect @Esmart
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WORK HISTORY
Data & Cloud Architect @Esmart
Montreal, QC, CA
Leading data architecture for an IoT company managing connected devices on live commercial trucks with active speed control.• Designed and built the company\'s data lake and analytics infrastructure from the ground up (AWS), enabling Analytics & AI/ML initiatives across the organization • Built a custom AI agent and agentic workflow to support internal operations, with adoption guidelines for the team • Providing data infrastructure and advisory support for computer vision and embedded ML projects (object detection, LLM-based data annotation, lightweight models on IoT devices) • Acting as technical partner for business, firmware, and software teams — translating data capabilities into strategic outcomes
EDUCATION
Classes Préparatoires, lycée Stanislas
PC
Lycée Thérèse d'Avila
Baccalauréat, Scientifique
ESCP Business School
Programme grande école, Master in Management
CentraleSupélec
Diplôme d'ingénieur, Cursus Supélec - Paris
ABOUT AURELIEN L.
Data & AI Architect with 6 years of experience designing and delivering end-to-end cloud data platforms across AWS, GCP, and Azure. My core work is building the data foundations that make AI & Analytics possible — data lakes, ingestion pipelines, analytics infrastructure — while advising teams on how to leverage these capabilities for AI and GenAI use cases. I\'ve designed RAG architectures, prototyped LLM fine-tuning approaches, built agentic workflows, and deployed ML models on constrained environments. Working in consulting, I owned projects end-to-end — from pre-sales and solution design to hands-on delivery — translating business and product needs into scalable data, cloud and AI architectures across multiple industries. I thrive in roles where I can combine hands-on data and AI engineering with technical leadership and stakeholder engagement — bridging technical teams and decision-makers to turn data capabilities into real business value. Core expertise: Cloud data platforms · Data architecture · GenAI advisory · RAG · Agentic systems · Pre-sales & technical leadership · AWS · GCP · Azure
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