Freelancer profile translated to English.
Back to original languageAbout Christophe
Computer and Applied Mathematics Engineer, I started my career as a consultant, startup founder, IT manager, and freelance developer; experiences through which I acquired a strong "data" culture.
For the past 10 years, as a data science consultant and trainer, I have developed and implemented solutions based on Machine Learning with Python, scikit-learn, and various cloud platforms. As a passionate and pedagogical trainer, I also enjoy teaching various profiles the power of these techniques when implemented on the right datasets.
Passionate, I am now looking for a new project with new data to explore and exploit, to extract all its added value.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- SYNAPSELead Data ScientistSOFTWARE PUBLISHINGJune 2023 - July 2023 (1 month)Toulouse, FranceDeployment of a language model on French infrastructure and optimization of inference time- Selection of an open-source LLM (LLama2 and Falcon-7B fine-tuned version by H2O)- Selection of a French host: OVH- Optimization of inference time- Deployment with auto-scaling using Text Generation Inference (TGI)
- SoulBytesLead Data ScientistTECHMarch 2023 - June 2023 (3 months)Fine-tuning a language model (LLM) to create influencer clones that replicate their styles and ideas- Selection of an open-source LLM: final choice MPT-7B- Fine-tuning on empathetic conversation datasets with a context window up to 8k tokens- Generation parameter tuning after prompt injection from a Vector DB (Pinecone) containing influencer transcripts- Inference time optimization (quantization, compilation…)- Deployment of an endpoint on AWS with auto-scaling on g5.xlarge instances
- CORE for TechLead Data ScientistTRANSPORTATIONAugust 2021 - February 2023 (1 year and 6 months)Development of models that predict drowsiness while driving based on heart rate (HRV) and driving behavior- Lead Data Scientist and manager of a team of 4 data scientists- Protocol design, and management of several data collections- Development of predictive models capable of alerting a driver up to 10 minutes before they feel drowsy, based on their heart rate variability (HRV) obtained via electrodes (ECG models) or via connected watches, especially Garmin (PPG models)- Data analysis, from internal and external collections (via partners like Forvia and Valeo)- Development of a predictive model to anticipate degraded driving behavior due to fatigue
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Education
- Graduate Engineer from ENSIMAGENSIMAG (National School of Computer Science and Applied Mathematics of Grenoble)2007
- Large Language Models: Application through ProductionedX2023