Arts et Métiers · BME Paris · PSL

Pierre-Antoine
Faribaud

Engineering student — mechanical systems, applied AI, biomedical science

Building an engineering practice at the intersection of AI, industrial systems, and biomedical technology — with a long-term focus on neurotechnologies.

About

Arts et Métiers engineer,
directed toward research.

I trained as a mechanical and industrial engineer at Arts et Métiers ParisTech (ENSAM) — Châlons-en-Champagne campus — one of France's most demanding engineering schools, with a curriculum built on manufacturing processes, mechanics, materials, and hands-on industrial projects.

My internship at TECHWAVE gave me hands-on experience building AI systems under real industrial constraints: local LLM inference for confidentiality, hybrid rule-based/LLM pipelines to control hallucinations, and Python tooling used by non-technical stakeholders.

I will be joining the BME Neurotechnologies Master (Université Paris Cité & Université PSL) in 2026 — a research-oriented programme bridging biomedical engineering with computational neuroscience. My aim: contribute to a lab working at the intersection of AI and the nervous system — BCI, neural decoding, or neuromodulation.

Arts et Métiers — Fontaine du Gala

Arts et Métiers Gala — Viking Fountain

Education

Academic path

From competitive mathematics to industrial engineering, then biomedical AI — a deliberate trajectory, not a pivot.

Incoming 2026–2027

BME Neurotechnologies

Université Paris Cité & Université PSL

BME Neurotechnologies

Master's — Neurotechnologies Track (fully taught in English)

What I will learn

  • Neural signal acquisition: EEG, MEG, fMRI, intracortical recordings
  • Neural decoding and signal processing
  • Brain-Computer Interfaces (BCI) — design and evaluation
  • Neuromodulation and neuroprosthetics
  • AI & machine learning applied to neuroscience data
  • Clinical and regulatory context for biomedical devices

2024–2027

Arts et Métiers ParisTech — ENSAM

Châlons-en-Champagne

Arts et Métiers ParisTech — ENSAM

Diplôme d'Ingénieur — Mechanical & Manufacturing Engineering

What I learned

  • Mechanical design: gearbox sizing, shaft calculations, AGMA standards, SKF bearing selection
  • Manufacturing engineering: machining (PFMC), isostatism, GD&T, FAO/CAM simulation
  • Industrial AI deployment: Python pipelines, LLM inference, REST APIs (TECHWAVE internship)
  • Materials science: hot forming, metallurgy, quality control
  • Industrial partnerships: factory visits and real manufacturing projects
  • Student leadership: design and build of the Arts et Métiers Gala fountain

2021–2024

Lycée Marcelin Berthelot

Saint-Maur-des-Fossés

Lycée Marcelin Berthelot

Classes Préparatoires MPSI → PSI

What I learned

  • Rigorous mathematical foundations (analysis, algebra, geometry)
  • Classical mechanics, thermodynamics, and physics
  • Competitive problem-solving under pressure — Grandes Écoles entrance track

2018–2021

Lycée Albert de Mun

Nogent-sur-Marne

Lycée Albert de Mun

High School — Baccalauréat Scientifique (with honours)

What I learned

  • Scientific baccalauréat with highest honours
  • Mathematics, physics, engineering sciences (SI)
  • Foundation for competitive preparatory classes

Projects

Selected work

From industrial AI pipelines to mechanical design and autonomous vehicles — projects that demonstrate end-to-end engineering across domains.

Diabetes Risk Prediction — ML Study

2024

Diabetes Risk Prediction — ML Study

Academic project · Python · scikit-learn

Data mining project with Maïna Cerede on the Pima Indians Diabetes dataset. Comparative study of KNN, SVM, and Random Forest classifiers, plus K-Means clustering to identify unsupervised risk profiles.

  • SVM: 75.3% accuracy — best classifier on this dataset
  • K-Means on Glucose/BMI: two distinct risk clusters identified without labels
Pythonscikit-learnpandasKNN+2
AI-Powered Workflow Automation

Dec 2024–Jul 2025

AI-Powered Workflow Automation

TECHWAVE & OPEO · Industrial AI Internship

Designed and deployed 4 Python automation pipelines for an industrial electronics firm. Hybrid rule-based + local LLM approach (Mistral via LM Studio) for confidential regulatory document processing.

  • Requirements extraction from regulatory PDFs — hybrid rules + LLM pipeline
  • BOM sourcing via Mouser REST API with automatic Sage 100 import
PythonMistral (local)PyMuPDFREST APIs+1
V4 90° Engine — Kinematics, Dynamics & Machining

2023

V4 90° Engine — Kinematics, Dynamics & Machining

Arts et Métiers Châlons · Manufacturing Processes

Full kinematic and dynamic study of a V4 engine at 90° — piston displacement, inertial forces, pitching/yawing moments, and crankshaft counterbalancing. Plus the complete machining study (PFMC) of part V4a90.

  • Kinematic model over 360° — joint positions, velocities, accelerations
  • Counterbalancing: residual forces reduced from ±21 kN to near zero
KinematicsDynamicsPFMCIsostatism+1
Awake Challenge — Autonomous Mini-Vehicle

2024–2025

Awake Challenge — Autonomous Mini-Vehicle

Inter-school Competition · Awake Group

Inter-school competition to design and build a miniature autonomous vehicle from scratch. Full cycle: mechanical design, 3D-printed chassis, electronics integration (Raspberry Pi, ultrasonic sensors, camera), and autonomous navigation.

  • PVC + 3D-printed chassis with DC motor, belt-pulley transmission, and spring suspension
  • Raspberry Pi with ultrasonic sensors + camera for obstacle avoidance
Raspberry PiSolidWorks3D printingDC motor+1
Helical Gearbox — Full Mechanical Design

2024

Helical Gearbox — Full Mechanical Design

Arts et Métiers Châlons · Mechanical Engineering

Complete pre-dimensioning of a single-stage helical gearbox from functional requirements to assembly specification. Gear geometry, shaft sizing under combined bending + torsion, SKF bearing selection, and oil splash lubrication.

  • AGMA-standard gear calculations — 8.5 kW, ratio 5.5:1, material 35CrMo4
  • Shaft sizing under combined loads, SKF bearing selection and life verification
AGMA standards35CrMo4SKFSolidWorks+1
Mannesmann — Tube Bundle Draining Optimization

2023

Mannesmann — Tube Bundle Draining Optimization

Industrial Partnership · Mannesmann Precision Tubes

Industrial engineering project in partnership with Mannesmann Precision Tubes. On-site factory visit followed by a full engineering study: optimize the oil draining time for tube bundles from 20h down to under 4.6h by redesigning the plugging system.

  • Two plugging solutions designed: contact plate vs. spacer plate — modelled oil flow
  • Optimization chart: draining time vs. inclination angle and bath temperature
Process engineeringFluid mechanicsCADIndustrial design
Pump Body — Cast, Machine, Measure

2023

Pump Body — Cast, Machine, Measure

Arts et Métiers Châlons · Manufacturing Engineering

Complete manufacturing study of an aluminium pump body across three phases: sand casting (AlSi7 alloy), CNC turning on a Mazak lathe, and dimensional verification with a robotic CMM probe.

  • Casting design: parting line, core, draft angles, vent and sprue system
  • Metrology: robotic tripod probe — discovered casting defects affecting cylindricity
CastingCNC turningMetrologyAlSi7+1
Industrial CAM — Full Manufacturing Study

2023–2024

Industrial CAM — Full Manufacturing Study

Arts et Métiers Châlons · Industrial Partnership

Full machining study and CAM simulation for a real industrial part. From isostatism and process planning to FAO simulation and production-ready manufacturing file.

  • Isostatism analysis: 6 contact points, clamping forces, datum reference frame
  • 2-phase FAO program — milling, drilling, boring — validated by simulation before cutting
FAO/CAMIsostatismGD&TCNC milling+1
Viking Fountain — Arts et Métiers Gala

2026

Viking Fountain — Arts et Métiers Gala

Student Leadership · Arts et Métiers

Designed and built a large-scale Viking-themed water fountain for the prestigious Arts et Métiers annual Gala. Tree-shaped structure with runic decorations and water jets, installed in front of a historic building — fully functional on the night.

  • Hydraulic design and structural assembly — team of students
  • Viking theme: runic carvings, tree structure, synchronized water jets
HydraulicsStructural designEvent fabricationTeam leadership

Experience

Work experience

From early manufacturing internships to industrial AI deployment and junior enterprise leadership.

AMJE — Arts et Métiers Junior Enterprise

AMJE — Arts et Métiers Junior Enterprise

IT Officer — Chargé SI, IT/AI Pole

Nov 2025 – Present

Paris, France

  • Improve AMJE websites and internal IT tools; develop client-facing web platforms
  • Automation and AI integration for internal operations
  • Best Junior-Enterprise in France — CNJE Excellence Award 2024 · €300k+ annual revenue
Web developmentAI automationJunior Enterprise
TECHWAVE / OPEO
TECHWAVE / OPEO

TECHWAVE / OPEO

Industrial AI & Data Internship

Dec 2024 – Jul 2025

Paris, France

BPI financed
BPIFrance
  • Intermediary between AI consultancy OPEO and TECHWAVE engineering teams
  • Deployed 4 Python automation pipelines: BOM sourcing via Mouser API, regulatory requirement extraction, compliance matrix generation
  • Hybrid rule-based + local LLM inference (Mistral via LM Studio) — 100% on-premise, zero data leaving the network
  • Estimated impact: 102 days/year of manual work automated across procurement and compliance teams
PythonLocal LLMREST APIProcess automation
MES / TECHWAVE Manufacturing

MES / TECHWAVE Manufacturing

Engineering Internships

2017 · 2020

Brest, France

  • 3D CAD modelling (SolidWorks) and rapid prototyping via 3D printing
  • Improved SMT and screen-printing processes; supported Airbus A400M production line
SolidWorks3D printingManufacturingAirbus A400M

Leadership & Activities

Beyond the lab bench

Gala des Arts et Métiers — Viking Fountain

2026

Gala des Arts et Métiers — Viking Fountain

Team Lead — 10-person student build team

Led a 10-person student team to design and build a large-scale Viking-themed fountain for the Arts et Métiers Gala — an event gathering 4,000 guests in front of a historic building. The installation combined metal and wood structure, hydraulic circuit, and runic decorations. Modular design enabled full assembly in under 2 hours on the night. Fully functional at scale.

Team leadershipHydraulicsMetal & wood fabricationEvent-scale engineering
Tennis — Arts et Métiers Association

2024–Present

Tennis — Arts et Métiers Association

President & Captain — Association Tennis ENSAM

President and captain of the Arts et Métiers tennis association. Managing the association's operations, organising competitions and training sessions, and representing the school in inter-school tournaments. Competing at a high level while building a team culture around discipline, strategy, and performance.

LeadershipCompetitionTeam managementSport
Sailing — Competition & Offshore

2019–present

Sailing — Competition & Offshore

Crew / Skipper

Competitive sailing since adolescence. Racing in regattas and offshore passages. Sailing sharpens the same instincts that engineering demands: reading dynamic systems, making decisions under uncertainty, and staying calm when things do not go as planned.

OffshoreRegattaNavigationTeam

Skills

Technical stack

Programming & Data

  • Python — production pipelines
  • pandas, NumPy, scikit-learn
  • PyMuPDF — PDF parsing
  • openpyxl — Excel automation
  • TypeScript / Next.js
  • REST APIs (requests, JSON)

AI & Machine Learning

  • Local LLM inference (Mistral via LM Studio)
  • Hybrid rule-based + LLM pipelines
  • Supervised: KNN, SVM, Random Forest
  • Unsupervised: K-Means clustering
  • Document AI — regulatory extraction
  • Prompt engineering

Mechanical Engineering

  • Gearbox design — AGMA standards
  • Shaft sizing under combined loads
  • Bearing selection — SKF catalogue
  • Kinematics & dynamics — mechanisms
  • Isostatism — fixture design
  • GD&T — dimensional tolerancing

Manufacturing & CAM

  • Process planning (gamme d'usinage)
  • FAO/CAM simulation
  • Turning, milling, boring, drilling
  • Casting design — sand moulding
  • Metrology — CMM, robotic probes
  • SolidWorks — 3D modelling

Tools & Workflow

  • Git — version control
  • Sage 100 — ERP integration
  • LaTeX — technical reports
  • Windsurf / VS Code
  • Excel — engineering calculations

Languages

  • French — Native
  • English — C1 (professional)
  • German — B2

Research Interests

Where I want to work

I am looking for a 6-month research internship (Feb–Aug 2027) in a lab working on biomedical AI, BCI, or neurotechnology. My background brings engineering rigour and production-ready AI experience to research problems.

Neural Decoding

Extracting intent, state, or cognitive content from neural recordings — EEG, intracortical, or LFP. Particularly interested in robust decoding under non-stationarity and limited training data.

EEGIntracorticalSignal processingDecoding
🧠

Brain-Computer Interfaces

Closed-loop BCI systems that adapt to the user. The engineering challenge: real-time, low-latency decoding with interpretable outputs in clinical settings.

BCIReal-timeClosed-loopEmbedded

Biomedical AI

Machine learning on physiological data — where non-stationarity, limited labels, and interpretability requirements make standard ML pipelines insufficient.

MLPhysiological signalsInterpretabilityFew-shot

Neuromodulation

Feedback-driven stimulation systems (TMS, tDCS, DBS). The intersection of control theory, hardware engineering, and neuroscience.

TMSDBSControl theoryNeuroprosthetics

Seeking: Research Internship · Feb–Aug 2027

If you are a PI working in biomedical AI, BCI, or neurotechnology and are looking for a motivated student who combines engineering (ENSAM), industrial AI (Python, LLM pipelines), and neuroscience training (BME Paris PSL) — I would welcome the conversation.

Pierre-antoine.faribaud@ensam.eu →

Contact

Open to research
opportunities

I am actively looking for a 6-month research internship (Feb–Aug 2027) in biomedical AI or neurotechnology — US, UK, Switzerland, Singapore, or Canada. If you are a PI or lab manager with an opening, I would be glad to hear from you.