Education
| Degree | University | Start date | End date | GPA |
|---|---|---|---|---|
| Ph.D. in ML and Speech Processing | EPFL | 03.2020 | 01.2022 | Dropped out |
| Specialized Master in Big Data and Data Science | Telecom Paris, Institut Polytechnique de Paris | 09.2018 | 04.2020 | 17.02/20 |
| Master of Science in Actuarial Science | HEC Faculty, University of Lausanne | 09.2016 | 07.2018 | 5.2/6 |
| Bachelor of Science in Economics | HEC Faculty, University of Lausanne | 09.2013 | 07.2016 | 5.0/6 |
| Scientific Baccalaureate, Option Mathematics and Bilingual | Lycée International de Ferney-Voltaire | 09.2010 | 07.2013 |
Experience
- 01.2022 - Now: CEO & Co-founder, biped.ai
- Leading the growth of biped.ai with a team of 6 employees
- Smart navigation harness for blind and visually impaired people
- Closed 600k $ pre-seed funding
- Currently raising seed
- 03.2020 - 01.2022: Ph.D. Candidate, Idiap Research Institute
- Worked on ROXANNE EU Reserach Project
- Implemented various Speaker Identification and Automatic Speech Recognition models
- For criminal use-cases
- Python, Speech Processing
- 11.2019 - 12.2019: Natural Language Processing Consulting, Orange Senegal
- Implemented a customer support Chatbot for Orange Senegal (Sonatel)
- Match user queries with a question/answer database
- Trained a POS-weighted Word2Vec, an LSTM-based intent classifier and deployed it on Streamlit
- Gave a 3 hours lecture on Advanced Natural Language Processing in front of data sience teams
- Python, Natural Language Processing, Tensorflow
- 07.2019 - 11.209: Data Scientist Intern, Anasen
- Anasen is a Y-Combinator data platform
- Created innovative algorithms for automated String Transformations Understanding from examples using tree-based structures and genetic algorithms. Worked with back-end and front-end engineers, R&D, end-users.
- Python, Algorithm optimisation, Natural Language Processing
- 03.2019 - 07.2019: Data Scientist Intern, Veamly (Part time)
- Veamly is a productivity application gathering information of several channels in a single feed
- Designed and implemented a Semantic Similarity Search Engine for the search function of the application. I also implemented Bert for next sentence prediction.
- Python, Search Engine, Hierarchical Embedding, BERT, Transformers
- 09.2018 - 05.2019: Deep Learning Research Project, Telecom Paris
- Research project over 9 months in group of 4 with the French Employment Agency
- Research project for the French employment center on multimodal emotion recognition for Text, Sound and Video. Built deep learning pipelines for real time emotion recognition, deployed the work on a platform. Worked with the French employment agency to propose this platform as an interview training platform for job-seeking candidates.
- Paper
- Supervisor: Chloé Clavel, Affective Computive Associate Professor
- Python, NLTK, Keras, Tensorflow, Flask, HTML, CSS
- 02.2018 - 08.2018: Non-life Actuary Intern, Vaudoise Insurance
- Vaudoise Insurance is a large private insurance company in Switzerland
- Redesign of a private Accident Insurance product. Statistical analysis, anomaly detection, product pricing (MLE, robustness tests, profit testing, simulations)
- R, VBA, Tableau
MOOCs
- Google Cloud Platform Big Data and Machine Learning Fundamentals, Coursera
- Java Programming, Udemy
- SQL for Data Science, Udemy
- Python for Data Science, Udemy
- Fundamentals for Big Data, IMT
- Machine Learning Explainability, Kaggle
Entrepreneurship
- 08.2020 : Hackathon Winner
- Won the 2020 edition of the International Create Challenge
- Won both the AI Healthcare award and the 1st price
- Made an assistive device for blind and visually impaired people
- Eventually became biped.ai
- 02.2019 - Present: Freelance Data Scientist
- Created my freelance activity (writing, teaching, building models…)
- 09.2019: Hackathon Winner, MedikHub
- Winner of the 2019 « Hubs as a service » Hackathon in Paris.
- Developed a mobile medical service for rural areas, a booking platform and a pre-diagnosis tool using NLP. Won a 5’000 euros prize.
- 04.2018: Finalist, Start Lausanne
- Finalist of the Start Lausanne contest (4th position)
- Developed a mobile application concept for car sharing
- 05.2016 - 03.2018: Founder of Wanago
- Crowdfunding platform specialized for van acquisition.
- Up to 5 collaborators on the project
- 03.2016: Finalist and Jury prize winner, Start Lausanne
- Jury Prize winner of the Entrepreneurial Contest Start Lausanne after a 6 months competition among 65 startups, with 5’000 Swiss Francs prize.
Teaching
- 11.2019: Data Science Instructor, Dakar Institute of Technology
- Dakar Institute of Technology is an AI school in Dakar, Senegal
- I gave 3 weeks of courses in Data Engineering and Deep Learning
- 10.2019: Machine Learning Instructor, Stat4Decision
- Stat4Decision is a consulting and training company
- I provided 3 days intensive trainings « Python for Data Science » in the banking industry.
- My intervention recieved the grade of 9/10 from participants
- 02.2019 - Present: Data Science Instructor, Vivadata
- Vivadata is a 10-weeks intensive AI bootcamp in Paris
- Created course supports and gave over 35 lessons on Stats, ML, DL and Data engineering.
- 02.2017 - 03.2018: Student Assistant in Public Finance, Institut de Hautes Etudes en Administation Publique (20%)
- Idheap is the leading institue in Switzerland for public policy/finance studies
- Assisting Pr. Soguel and PhDs in tasks such as course support update, data base cleaning and updating
- 09.2016 - 02.2017: Student Assistant in Corporate Finance, HEC Lausanne (40%)
- Assisting Pr. Nikolov in creation and correction of exercises, answering student’s questions in my office weekly, correcting problem sets in class and correcting exams.
Writing
- 09.2019 - Present: AI Writer, Stat4Decision
- Contributing to Stat4Decision’s blog in French
- Ex: Natural Language Processing
- 08.2019 - Present: Editorial Associate, TowardsDataScience
- Working part-time on AI articles review and content creation.
- 03.2019 - Present: AI Writer, Explorium
- Applied projects on data enrichment
- Ex: Predicting the next hit song
- 09.2018 - Present: Blog Writer, maelfabien.github.io
- I started writing a data science blog in which I share articles (over 100 so far) and tutorials on Statistics, Machine Learning, Deep Learning, Reinforcement Learning, Data Engineering and detailed projects from scratch.
Technical stack
- Daily user:
- Python
- ML Libraries (Sk-learn, Scipy, OpenCV, NLTK)
- Deep Learning frameworks (TensorFlow, Keras, PyTorch)
- UNIX environment
- Frequent user:
- Spark (PySpark, Scala)
- SQL
- AWS / GCP
- Flask, HTML, CSS
- Matlab, R
- Used in several projects:
- Hadoop
- Cassandra, MongoDB, Neo4J
- Hive
- ElasticSearch, Kibana
- Docker
Languages
- French (Mother Tongue)
- English (C2, Bilingual Baccalaureate)
- German (B2)
Interests
- ML and Data Science
- Sports (Fitness, running, hiking)
- Travel (South East Asia, Australia, New Zealand, Greenland)
- Writing
- History
Press
Data Science Interview for DataCast:
An interview I gave for a web journal in Senegal, in French: here
Articles related to Wanago :
- Ouest France
- Campingcar Le Site
- Esprit Campingcar
- Quimper Ma Ville
- Camp US
- HEConomist
- Innovation Time
- Planet Ride
- Interview
Sport
- Since 2015 : Fitness, Running, Hiking
- 2013 - 2015 : Swiss National League B player, Volleyball, SSO Genève
- 2012 - 2013 : Under 19 Swiss Champion, Volleyball, Lausanne University Club
- 2010 : Rhône-Alpes Champion (44m), Javelin throw
- 2009 : Rhône-Alpes Champion (34m), Javelin Throw
- 2008 - 2010 : Handball Sport section at school
Associations
- 01.2018 - 07.2018 : Student Member of the Equal Opportunity Commission of HEC Lausanne
- 10.2017 - 07.2018 : Head of Sponsorship for the Student Association of Actuarial Science
- 09.2016 - 10.2017 : Entrepreneurial Journalist at Innovation Time