Quentin Adam

Data Engineer Ii (Ai Ml) @Dakota Analytics Inc

Calgary, AB, CA
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2025 — Present

Data Engineer Ii (Ai Ml) @Dakota Analytics Inc

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Calgary, AB, CA

EDUCATION

2019 — 2020

Hult International Business School

Master of Science, Business Analytics

2018 — 2019

Hult International Business School

Master of Science, International Business

2015 — 2018

The University of Western Australia

Bachelor of Science, Anatomy & Human Biology and Exercise & Health

2011 — 2014

Lycée des Mascareignes

French Baccalaureate, Biology, Mathematics and Advanced Physics

SKILLS

BiologyHuman AnatomyHuman EcologyHuman EvolutionResearchExercise PrescriptionEvolutionary BiologyTrainingMicrosoft WordPrimatesExercise PhysiologyMicrosoft OfficeSocial MediaSports ScienceHuman BiologyHuman BehaviorMicrosoft ExcelPowerpointPhysicsNeurophysiology

ABOUT QUENTIN ADAM

I lead the delivery of production-grade Data and AI systems - from large-scale document processing pipelines to multi-agent LLM applications that augment real-world decision making at scale.My current focus sits at the intersection of agentic AI, NLP, and Lakehouse engineering: designing RAG systems on complex use cases with hierarchical retrieval and graph knowledge bases, orchestrating, fine-tuning and context engineering LLMs (Anthropic, OpenAI, open-weight models), and building the data infrastructure that makes AI reliable in production. I\'ve spent 6+ years in NLP work: entity extraction, classification, semantic search, and large-scale OCR and document intelligence pipelines.On the data and AI infrastructure side, I work across both Azure and AWS - Databricks for Lakehouse architecture (Delta Lake, PySpark) and ML/AI work with MLflow, and AWS for S3 data storage and Lambda / Step Functions / EventBridge for serverless event-driven orchestration - paired with Dagster and dbt for pipeline orchestration and transformation, and Terraform + Docker for reproducible infrastructure.I have experience leading cross-functional teams of data engineers, data scientists, analysts, and software engineers, translating business problems into end-to-end architectures that hold up under high operational load.Beyond client work, I stay deeply hands-on with the frontier of open-source AI and agentic coding. I run a containerized, always-on AI agent on my home server - built on the Claude Agent SDK - that triggers on events, interfaces with my phone and does work autonomously while I\'m away. My personal dev environment is built around current agentic coding practices: skills, hooks, permission guardrails, memory systems, planning tools, and multi-agent orchestration. I use Claude Code as a primary agentic coding tool and OpenCode to stay model-agnostic - swapping between frontier and open-weight models against the same underlying filesystem and workflow setup.This is probably the last time I manually update this bio. At the current pace of progress in this field, it gets outdated within months - and soon, weeks. The underlying human remains the same, with the same discipline, and hopefully that will come through as I let my AI agent take over the manual work.

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Quentin Adam — Data Engineer Ii (Ai Ml) at Dakota Analytics Inc in Calgary, AB, CA | Unifers