Freelancer profile translated to English.
Back to original languageAbout Allwyn
Data Scientist and AI/Data Engineer with over 6 years of end-to-end experience, from research to the production of ML/DL systems. Design and deployment of medical imaging algorithms (CE & FDA) in over 500 health centers. Expertise in deep learning, MLOps, data engineering, and GenAI/LLM tools. Seeking high-impact roles combining research and deployment.
English
Native or bilingual
French
Fluent
Can work on-site
Vincennes (up to 15km), Paris (up to 15km)
Experience
- AZmedAI Engineer / AI ScientistMEDICALFebruary 2019 - February 2025 (6 years)Paris, France
- AI medical imaging startup – 1st employee, scaling from 0 to 500+ health centers in production and 50+ employees.
- Led the development of the Trauma algorithm (fracture, dislocation, effusion detection across the entire body) and the Thorax algorithm (consolidation, pleural effusion, cardiomegaly, pneumothorax, pulmonary nodules) – CE & FDA certified.
- Applied research in object detection, domain adaptation/generalization, continual learning with LoRA, self/semi/weakly supervised learning, and data augmentation via GANs and diffusion models.
- Implemented the production ML pipeline with AWS SageMaker, ONNX, and TensorRT for low-latency inference; implemented DVC and Python Dataclasses for data validation.
- Cross-functional lead: liaising between AI, Dev, and Ops teams; contributed to recruitment and onboarding; AI training for Business and Customer Support teams.
- Mind7Data Scientist InternCONSULTING AND AUDITSApril 2018 - August 2018 (5 months)Paris, France
- Worked on NLP and NLG for the creation of the Myrtea Personal Assistant.
- Developed and simulated a chatbot using LSTM seq2seq models (Phase 1 of the Myrtea assistant).
- Developed a fraud detection project for a major client - Contract secured for the creation of a beta version of fraud detection software.
- Data processing (cleaning and pre-processing) using under-sampling techniques on a fraud dataset.
- Designed and tested various Machine Learning and Deep Learning models - logistic regression, ensemble and boosting techniques, and autoencoders - on the pre-processed fraud dataset.
- Data exploration for a major NGO client.
- Fraunhofer ISEScientific AssistantENERGY AND UTILITIESApril 2016 - April 2017 (1 year)Fribourg-en-Brisgau, Germany- Worked on a renewable desalination project in Cape Verde as part of IRENA's SIDS Lighthouse Initiative.- Studied the climate, geography, and energy and water infrastructure of Cape Verde, and researched renewable desalination systems, comparing their cost and efficiency to conventional methods.- Designed and developed an Excel tool to analyze water consumption in CSP plants.- Worked on SEO to develop website content using tools such as Ahrefs and Google Analytics.
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Education
- Master in Machine Learning and Data MiningUniversité de Lyon2019- Deep Learning - Machine Learning - Data Mining
- Masters of Science in Management and Engineering of EnvironmentRoyal Institute KTH2016- Management - Energy - Environment