Freelancers using NLTK in Paris
Freelancers using NLTK in Paris
Sign Up
Post a job
Sign Up
Log In
Filters
2
Projects
People
Axel Gusto
Paris, France
Fractional CPO/CTO for HealthTech & AI Startups
Follow
Message
Fractional CPO/CTO for HealthTech & AI Startups
0
MIND — AI Medical Billing Assistant MIND automates medical billing coding for French physicians. The system reads clinical notes and suggests the correct CCAM codes in real time — eliminating manual lookup and reducing billing errors. Built solo from scratch: — NLP pipeline for clinical note analysis — Secure architecture for sensitive medical data — Go-to-market strategy targeting independent practitioners Stack: Python, NLP, cloud-native, HIPAA & GDPR-compliant data architecture. Role: Sole founder — product, engineering, and distribution.
0
33
0
Cloud Infrastructure & DevOps Engineering Designed and deployed cloud infrastructure for early-stage startups — from bare VPS to containerized production environments. Delivered across 2 client engagements: — GCP infrastructure setup and configuration — Docker containerization and orchestration with Kubernetes — Linux server hardening and production deployment — CI/CD pipeline implementation — Monitoring and incident response setup Each engagement ran 2–4 weeks, fully remote, delivered autonomously from architecture to production handoff. Stack: GCP · Docker · Kubernetes · Linux · VPS
0
16
0
2 Peer-Reviewed Publications — ML for Biomedical Classification Co-authored two peer-reviewed papers on applied machine learning and deep learning in clinical and biological contexts, working with CNRS, CEA, and Université Côte d'Azur. Paper 1 — Bioinformatics: Introduced PD-CR, a novel primal-dual classification method outperforming SVM, Random Forests, and PLS-DA on cancer metabolomics datasets (lung & brain tumors). Real clinical data from university hospitals of Nice and Montpellier. Paper 2 — IEEE/ACM Transactions on Computational Biology and Bioinformatics: Non-invasive live cell cycle monitoring using a supervised autoencoder on Quantitative Phase Imaging data. Achieved 98.6% classification accuracy on 80,000+ cells. Both projects used real clinical datasets. No simulations.
0
32
3
MailSwap — AI Email Classifier for Shopify MailSwap automatically classifies incoming merchant emails — refunds, support, billing, shipping — and routes them to the right team without human triage. Built end-to-end: — Custom ML classifier trained on e-commerce email data — Shopify App integration — Production deployment with confidence scoring Achieved 94%+ classification accuracy in production. Role: Sole founder — model training, backend engineering, Shopify App Store launch.
3
134
NLTK
(1)
Follow
Message
Explore people
