Open to opportunities

Paul Chauvin

@paulchauvin

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Innovative machine learning engineer with a focus on AI solutions.

France

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What I'm looking for

I am seeking a role that fosters innovation and collaboration, where I can leverage my machine learning expertise to solve complex problems and contribute to impactful projects.

I am a passionate machine learning engineer with a strong background in developing innovative AI solutions. My journey began with a Master’s degree in Mathematics Applied to Machine Learning from École Normale Supérieure Paris-Saclay, where I graduated with the highest honors. Since then, I have co-founded Mailead.io, a cold outreach automation platform that scaled to $400K revenue in just four months before being acquired by TaskMagic. My experience spans various roles, including freelance work where I delivered NLP pipelines and backend APIs for early-stage startups.

At Aqemia, I developed AI models for drug discovery, collaborating closely with researchers to accelerate the design of drug candidates. My technical expertise includes building production-ready ML pipelines and deploying generative models. I have also contributed to the field of generative AI as a researcher at Yokai, where I improved state-of-the-art facial generation models. My side projects reflect my entrepreneurial spirit, including tools for content generation and nutrition tracking, showcasing my commitment to leveraging technology for practical solutions.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Freelance

Oct 2023 - Present (1 year 10 months)

Delivered NLP pipelines, dashboards, and backend APIs for early-stage startups. Fine-tuned large language models such as LLaMA and Mistral for legal use cases.

NLP LLMs)Backend Development API Development Data Pipelines

Co-Founder

Mailead.io

Feb 2024 - Sep 2024 (7 months)

Co-founded a cold outreach automation platform, scaling it to $400K revenue within four months. The company was successfully acquired by TaskMagic in 2024.

Cold Outreach Automation Business Development SaaS

Machine Learning Engineer

Aqemia

Sep 2022 - Sep 2023 (1 year)

Developed AI models for screening and generating novel drug molecules, building production-ready ML pipelines. Collaborated with researchers to accelerate drug candidate design.

Drug Discovery Generative Models Collaboration

Program Participant

Entrepreneur First

Nov 2021 - Jul 2022 (8 months)

Prototyped a French writing assistant and a food waste reduction tool for retail. Conducted user interviews and MVP testing to validate product-market fit.

Prototyping User Interviews Product Market Fit entrepreneurship

Machine Learning Researcher

Yokai

Apr 2021 - Oct 2021 (6 months)

Re-implemented and improved state-of-the-art facial generation/modification models in PyTorch. Designed hybrid architectures that outperformed prior baselines in visual fidelity.

Generative AI PyTorch Architecture Design

Intern

Addactis

May 2020 - Aug 2020 (3 months)

Developed fraud detection models for healthcare claims using R and Python. Gained experience in applying statistical methods to real-world insurance data.

Fraud Detection R Python Healthcare Claims Statistical Modeling

Intern

SNIPS

Jun 2019 - Aug 2019 (2 months)

Built tools for data generation, normalization, and token classification for voice assistant testing. Contributed to an AI voice platform later acquired by Sonos.

Data Generation Data Normalization Token Classification