Guillaume Saint-Cirgue
Founder
Salary / Daily rate
Freelance
Skills
Languages
Work experience
Lead ML Engineer
Predixus
Jan 2024 - Present
2 years 10 months
Cambridge, UK
Freelancing Data Science and ML projects for a portfolio of 10-20 customers in retail, computer vision, medical, robotics: customers include: the CNRS, the CEA, EchoS, 8Pow, NovaT, MFS, etc
Head of Digital Transformation
Airbus
Aug 2023 - Present
3 years 3 months
Broughton MK10, UK
- Defining the digital Strategy of Airbus UK - Heading a multi-team / multi-disciplinary departement of +20 engineers to develop and deploy Machine Learning and Big Data solutions for the whole of Airbus UK. Product portfolio including : Computer Vision, Large Langage Models, Anomaly detection, Smartphone Applications, Cloud infrastructure, IoT products,Virtual Reality and Augmented Reality - Development of Ethical and Sustainable AI
Founder
Machine Learnia
Mar 2019 - Present
7 years 8 months
London, UK
Founder of Machine Learnia (110,000+ subscribers) Website and YouTube channel that publish educational videos on Machine Learning and Deep Learning with a deep dive in real Mathematics.
Senior Data Scientist
CMR Surgical
Aug 2022 - Aug 2023
1 year 1 month
Cambridge, UK
Senior Data Scientist responsible for the development of the predictive maintenance strategy and models. - 2022: development of a failure detection model with huge impact on customer satisfaction and maintenance cost reduction for the business. Convolutional Neural Networks, Time Series Snalysis, Fast Fourier Transform.
GKN Aerospace
Nov 2016 - Aug 2022
5 years 10 months
London, UK
Senior Data Scientist
Nov 2017 - Aug 2022
4 years 10 months
London, UK
Promoted to project technical lead / Senior Data Scientist after successful delivery of Optical Ice Detector to TRL4 in previous role. Now responsible for : - Development of Deep Learning models in Computer Vision for quality inspection. Delivered algorithm with 99% classification accuracy on valid/invalid application of adhesive on landing gear project. - Reinforcement Learning algorithms to control a world-unique manufacturing method - Anomaly detection systems for manufacturing. Also conducting multiple Industry 4.0 initiatives on international productions sites. + Leading an international team of engineers to develop an autonomous control UAV prototype (100kg payload, 120km/h) Python, Tensorflow, Sklearn, Convolutional Neural Network, Fast Fourier Transform, Q-Learning Algorithms
System Engineer
Nov 2016 - Nov 2017
1 year 1 month
London, UK
System Engineer and programmer responsible for the development of GKN Optical Ice Detector Technology: - System Development, requirement analysis, function modelling, V&V (ARP4754, ARP4761, STAMP) - Design and test of the Electronics, including both Analogue and Digital (design conducted using Altium) - Software development of ice detection algorithm in C++ (for STM32 microprocessor programming) and Python (for Machine Learning Algorithm development). Delivered a Realtime Ice-thickness measurement algorithm with a precision accuracy of 95%, ground-breaking industry standard and which secured another level of funding (3 million pounds) for the DE-ICER UK project. Python, Sklearn, Tensorflow, Recurrent Neural Networks, Kalman Filters, C++, Altium
Graduate Engineer Quality and Data Analysis
Rolls-Royce
Feb 2016 - Nov 2016
10 months
Isle of Wight, VA, USA
o Tasked to develop the company Quality Management System to address gaps and obtain certification to AS1900: • Analysis of all company documents using NLP algorithms and GloVe word embedding. • Classification of documents using K-Mean Algorithm, and presentation of gaps to leadership using t-SNE representation. (Python, Tensorflow, NLTK) o Charged to close quality issues in the field of engineering and logistics, using Lean Manufacturing problem solving, and 8D problem solving: • Identification of root causes using Monte Carlo simulation, and K-Mean • Corrective actions: Deployment of an automated inspection system (CONVnet and Anomaly detection system) test accuracy achieved: 98%
Business Development Intern
STATICE Innovation
Sep 2015 - Dec 2015
4 months
Région de Besançon, France
Compiled a state of the art of the biomedical technologies (research and summary of relevant patents and scientific papers) and benchmarking.
ASIC Engineering Intern
SWINDON Silicon Systems
Aug 2015 - Aug 2015
1 month
Swindon, UK
1-month contract in Quality and Failure Analysis.
ASIC/FPGA Engineering Intern
SWINDON Silicon Systems
Sep 2014 - Feb 2015
6 months
Swindon, UK
Supported the Design of a new generation of ASICs for tyre pressure monitoring systems with the development of simulation tools in VHDL (ModelSim), and the development of test tools in C++, LabVIEW
Education
Coursera
Specializations - Stanford University, NVIDIA, Machine Learning - Deep Learning - A.I.
2018 - 2019
1 year
Grade: 100%
Machine Learning (Stanford University) 11-week-course on Machine Learning: Linear Regression, Neural Networks, SVM, Anomaly Detection Systems, Photo OCR, Structuring Machine Learning projects. Deep Learning Specialization (5 courses): Deep Learning, Improving Deep Learning Neural Networks, Structure Machine Learning Projects, Constitutional Neural Networks, Sequence model (NVIDIA Partner)
SUPMICROTECH-ENSMM
Master of Engineering (M.Eng.), Electronic and Mechanical Engineering
2013 - 2017
4 years
National Engineering Institute of Micro-mechanics and Electronic of France. Academic skills: Mechatronics, Electronics, Mathematics, Machine Learning, Computer Science, Automation, Mechanical conception, Mechanical calculation, Mechanical production, Metrology, Science of materials, Optics, Business and Marketing, Communication. Computer and coding skills: o Pro Engineer, Catia V5, Matlab o TensorFlow, Python, C++ o ModelSIM, LabVIEW War Room experience in Jan-2016: A 48-hour crisis simulation. The company I am working for is suddenly facing a deadly crisis for the business. As the leader of the crisis team, which consist of 7 teammates, I have to face the serious difficulties of this experience and manage my team to solve as many issues as possible to keep the activity alive despite the high challenges: customer/supplier concerns, media, reputation, facility destroyed, deaths, stockholders...
Lycee Kleber - Lycee Condorcet
Maths Sup Maths Spe 3/2, Maths, physics, Chemistry
2011 - 2014
3 years
Student in PCSI / PC Maths: Linear Algebra, Calculus, Statistics and probability. Physics: Electronics Mechanics, Thermodynamics, Electromagnetism Chemistry Philosophy
Licenses & certifications
Sequence Models
Issued: Dec 2018
Convolutional Neural Networks
Issued: Nov 2018
Portfolio
ML Solutions for Predictive Maintenance and Analytics in MedTech
