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Mikhael RaviMR

Mikhael Ravi

AI Engineer, Full-Stack Developer, Data Scientist

125 €/jour
Brussels, BE
3-7 ans

Délai de réponse moyen : 1h

À propos de Mikhael

Full-stack Developer (4+ years) — pragmatic APIs, data, and DevOps

I build and ship end-to-end solutions: robust back-end APIs, data processing, automations/integrations, and production deployments. Core stack: Node.js/NestJS (TypeScript) with MongoDB or SQL, plus practical DevOps on Ubuntu VPS (PM2, Nginx, SSL, logs, health checks). In the last years I’ve delivered many projects ranging from business services to analytics and, more recently, AI-assisted features: retrieval-augmented answers over company docs (RAG), FAQ/assistant flows, and lead-capture triggers—often with Ollama and LLaMA models when on-prem or low-latency local inference is preferred.

I take projects from a blank repo to stable production: clear module boundaries, DTO validation, predictable errors, structured logging/metrics, environment-driven configuration, and sensible security (least-privilege DB, local bindings, explicit CORS). I favor small, reviewable PRs and “thin vertical slices” that go live early, then iterate.

Highlights: document ingestion & indexing, REST/JSON APIs, webhook/queue workers, scheduled jobs, data enrichment/ETL, testing/linting, and straightforward runbooks any teammate can follow. Typical engagements: greenfield services, stabilization/cleanup of existing codebases, adding AI features to knowledge bases, and performance passes (indexes, query plans, caching, payload budgets).

Browse my code and active demos on GitHub: — most projects are there; I’m happy to point you to specific repos/commits.
Live demo example (AI FAQ with RAG + lead capture):
  • Portugais

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • none
    Cloudly: AI FAQ + Lead Capture — Full-stack & DevOps
    HIGH TECH
    juillet 2025 - août 2025 (1 mois)
    Joao Pessoa, PB, Brazil
    Built an AI FAQ assistant and landing page. A lightweight, no-iframe widget talks to a NestJS API backed by MongoDB and Ollama (LLaMA 8B). Retrieval-first (RAG) using site-scoped doc chunks; falls back to general knowledge when needed. Lead capture fires on contact intent or low confidence. Deployed on an Ubuntu VPS with PM2; API and static assets are served together for simple CORS. Live demo: *http://153.92.210.209:3001* (the assistant might take a little while to respond, so just wait a bit).
    artificial intelligence NestJs HTML Typescript MongoDB

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Formations

  • masters of computer aplications
    faculdade libano
    2025
    Artificial Inteligence, Data science, Big Data

Compétences

Catégories