Freelancers using Docker in ParisFreelancers using Docker in Paris
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Eriel Cruz's avatar
Eriel Cruz
Paris, France
Building Modern Websites & Deploying Self-Hosted Apps
$1k+
Earned
3x
Hired
5.0
Rating
5
Followers
Building Modern Websites & Deploying Self-Hosted Apps
Cover image for Global Deployment of Self-Hosted Applications
Global Deployment of Self-Hosted Applications
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12
Cover image for Professional Photography Website Gallery
Professional Photography Website Gallery
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6
Cover image for Modern and Responsive Business Website creation
Modern and Responsive Business Website creation
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14
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Docker(1)
Axel Gusto's avatar
Axel Gusto
Paris, France
Fractional CPO/CTO for HealthTech & AI Startups
Fractional CPO/CTO for HealthTech & AI Startups
Cover image for Cloud Infrastructure & DevOps Engineering Designed
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
35
Cover image for 2 Peer-Reviewed Publications — ML
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.
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51
Cover image for MIND — AI Medical Billing
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.
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54
Cover image for MailSwap — AI Email Classifier
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.
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109
Docker(1)
Sathwika Bandaru's avatar
Sathwika Bandaru
Saint-Denis, France
AI Engineer building LLM, RAG & AI automation solutions
New to Contra
AI Engineer building LLM, RAG & AI automation solutions
Cover image for Collaborative project, contributed key production
Collaborative project, contributed key production components of Med-V²QA, a clinical Visual Question Answering system built on the MUMC architecture for radiology image analysis. My contributions: built the Dual-Gate Guardrail System (Gate 1 rejects non-medical intent, Gate 2 uses a local CLIP classifier to reject non-medical images ensuring clinical safety and system focus); developed the Batch Triage module using zero-shot CLIP to automatically sort and prioritise the most abnormal scans from uploads of up to 20 images; integrated Voice I/O using OpenAI Whisper for speech-to-text transcription and gTTS for audio readout of answers; built the PDF report generation module producing structured clinical reports with patient data, notes, and VQA results; and developed the FastAPI backend handling high-performance async request processing across all services. Built as part of a team my work covered the safety layer, multimodal I/O, clinical reporting, and backend API infrastructure.
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25
Cover image for Collaborative project built at Kaggle
Collaborative project built at Kaggle Week 26 GenAI Hackathon, contributed the core AI engineering layers of a Business Law RAG Assistant that answers legal document queries with source citations and live faithfulness verification. My contributions: built the hybrid FAISS + BM25 retrieval pipeline for accurate document search; designed the multi-agent orchestration system coordinating retrieval, generation, and verification agents; implemented the faithfulness verification layer to evaluate and score LLM output quality; integrated an MCP tool server enabling live web search as a fallback; and built the analytics dashboard tracking query performance and retrieval metrics. Built as part of a 4-person team, my work covered the RAG pipeline, agentic architecture, and evaluation infrastructure.
0
32
Cover image for Built as part of a
Built as part of a team, my contributions covered the pipeline orchestration, model serving, and data infrastructure layers.
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35
Cover image for Built a Medical NLP system
Built a Medical NLP system that processes clinical text to extract healthcare entities, redact sensitive information, and structure unstructured medical data using NER pipelines and FastAPI for backend integration.
0
44
Docker(1)
Ismail ait-lahssen's avatar
Ismail ait-lahssen
Paris, France
Building AI-Powered Workflows & Business Systems
New to Contra
Building AI-Powered Workflows & Business Systems
Cover image for Production-oriented credit risk ML system
Production-oriented credit risk ML system with reproducible training, saved artifacts, automated tests, and CLI-based inference workflows.
0
18
Cover image for Designed a modular ML architecture
Designed a modular ML architecture with dedicated layers for APIs, feature engineering, inference, persistence, testing, and artifact management to support reproducible training and scalable prediction workflows.
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38
Cover image for Production-oriented credit risk ML system
Production-oriented credit risk ML system with reproducible training, saved artifacts, automated tests, and CLI-based inference workflows.
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25
Cover image for Developed a production-oriented ML repository
Developed a production-oriented ML repository with modular source architecture, automated testing, CI workflows, inference APIs, and structured engineering documentation following real-world software development practices.
0
31
Docker(2)
ramzi benaboud's avatar
ramzi benaboud
92400 Courbevoie, France
Cloud Engineer | DevOps | SecOps | Sysops | Terraform
Cloud Engineer | DevOps | SecOps | Sysops | Terraform
Cover image for Automating AWS Infrastructure and DevOps Pipelines for Efficienc
Automating AWS Infrastructure and DevOps Pipelines for Efficienc
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9
Cover image for Building a PCI DSS-Compliant Secure AWS Infrastructure
Building a PCI DSS-Compliant Secure AWS Infrastructure
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14
Cover image for On-Premises Data Center Migration to AWS Cloud Infrastructure
On-Premises Data Center Migration to AWS Cloud Infrastructure
0
10
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Docker(1)