AI Engineer & Data Scientist

Turning complex information into actionable decisions.

From biological research and pharmaceutical R&D to operational automation, AI engineering and higher education, I design systems that help people understand, decide and act.

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What connects biology, statistics, automation, AI engineering and teaching?

Building practical systems that help people make better decisions.

Career Journey

The logic behind the profile

Open to roles & missions

Journey Map

From biological research to AI systems and operational decision support.

The progression started with experimental biology and statistical reasoning, evolved into operational automation and now focuses on AI-powered systems, deployed workflows and knowledge transfer.

Biology & early research

I first wanted to understand living systems: behaviour, adaptation and experimental biology. Field and lab experiences showed me that collecting observations is only the beginning.

Current Thread

Scientist→Statistician→Builder→AI Engineer→Teacher

Each step adds one layer to the same operating logic: turning complex information into decisions people can use.

Where the questions started

Scientist

Biology & early research

2015 — 2020

I first wanted to understand living systems: behaviour, adaptation and experimental biology. Field and lab experiences showed me that collecting observations is only the beginning.

“Observation creates data. Scientific reasoning turns it into questions worth testing.”

Evidence

Health Biology background

Early interest in ethology and animal behaviour

Field-oriented scientific work with operational constraints

Experimental research on honeybee learning and behavioural data

Capabilities

BiologyExperimental designObservationBehavioural data

This step explains the next one. The portfolio is designed as a path, not a chronology: each identity adds a practical layer to the way I build data and AI systems.

Teaching & Knowledge Design

Teaching beyond slides.

I design applied learning experiences where statistics, data and AI workflows become concrete systems students can explore.

Interactive teaching system

Teaching Brain Lab

An interactive learning interface designed to teach data, analytics and AI workflows through realistic projects.

Learning by doing

Real analytical workflows

Professional deliverables

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Teaching & Knowledge Design

Teaching beyond slides.

Teaching is not a side activity in this portfolio. It is where statistical rigor, AI systems and product thinking become understandable learning experiences.

Featured teaching system

Teaching Brain Lab

Live

An interactive learning interface built to show how concepts connect: data strategy, statistical reasoning, machine learning, AI workflows and professional communication.

01

Learning by doing

Students learn concepts by building concrete analytical outputs.

02

Real projects

Learning paths are structured around realistic data and AI missions.

03

Mission-based progression

Each activity connects methods, decisions and deliverables.

04

Professional deliverables

Students build systems, reports and analytical workflows inspired by real operational contexts.

Explore Teaching Brain Lab View GitHub

What I Build

Production systems, not isolated demos.

This section focuses on deployed technical products: AI-powered workflows, analytical applications and decision-support systems built to solve concrete problems.

AI · Data Quality PlatformLive

AI Data Quality Auditor

A deployed AI-assisted platform that turns raw datasets into quality diagnostics, structured checks and analytical reports.

Why it matters

It demonstrates the full product chain: data ingestion, quality logic, API design, frontend UX, AI-assisted reporting and deployment.

Live Demo GitHub API Docs

AI · Data Quality PlatformLive

AI Data Quality Auditor

A deployed full-stack system designed to turn raw files into structured diagnostics, quality scores and AI-assisted analytical reports.

Problem

Validating raw datasets is often slow, manual and inconsistent.

Solution

A deployed full-stack application that turns CSV and Excel files into quality diagnostics, scoring and AI-assisted analytical reports.

Workflow

01

Upload

02

Checks

03

Scoring

04

AI Report

05

Decision Support

Technical stack

Next.jsFastAPIPythonPandasGeminiVercelRender

Why it matters

The product demonstrates the full chain: data ingestion, quality logic, API design, frontend UX, AI-assisted reporting and cloud deployment.

Live Demo GitHub API Docs

Currently building

Career Intelligence Assistant

An AI-assisted decision system designed to analyse opportunities, structure fragmented information and support strategic career choices.

Product positioning

Not a chatbot: an operational workflow for opportunity analysis and career decision support.

Discuss this project

Currently Building

Career Intelligence Assistant

A future project designed around the same principle as this portfolio: collect fragmented information, structure it, score it and turn it into decisions.

Product positioning

Not a chatbot: a decision-support workflow for career search, prioritization and follow-up.

In development

Opportunity intelligence system

Next product

The assistant will aggregate opportunities, score relevance, produce AI summaries and generate actionable reports for job search decisions.

Pipeline

01

Sources

02

Collection

03

Scoring

04

LLM Analysis

05

Email Reports

Opportunity collection

Centralize fragmented job opportunities from multiple platforms.

Relevance scoring

Rank opportunities using profile fit, constraints and strategic value.

AI reporting

Generate summaries, comparisons and follow-up recommendations.

Sources

LinkedInAPECFrance TravailWelcome To The Jungle

Planned stack

LangChainFastAPIPostgreSQLNext.jsDocker

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Contact

Let's turn complex information into better decisions.

I work at the intersection of science, data and AI systems to solve real problems, build automated workflows and design meaningful learning experiences.

Where I add value

AI Engineering

Production-ready AI workflows, LLM applications and automation systems.

Data & Analytics

Statistical reasoning, data quality and decision-support tools.

Automation Systems

End-to-end pipelines, APIs, scalable workflows and integrations.

Teaching & Workshops

Applied courses, workshops and interactive learning systems.

Get in touch

Open to roles, missions and collaborations around AI, data, automation and applied teaching.

Email

pro.raphael.parmentier@gmail.com

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Currently interested in

AI Engineering

Data & Analytics

Automation Systems

Applied Teaching Projects