WhatsApp intake prototype in Go with LLM-assisted triage, tested by a clinic and discontinued after the trial. It did not reach production.
// automation · backend · ai-agent systems
Dino Meschini
I build workflow automation, backend services, and AI-agent systems.
My work includes Python scripts for customer onboarding and LLM workflows that validate outputs and stop when required data is missing.
Open to automation and backend roles — remote, Argentina-based, EU work authorization (Italian citizenship).
Projects
3 solo projects
LLM workflow for financial analysis with Pydantic validation, source checks, and stops when required data is missing.
Full product — Go/PostgreSQL backend, React/Vite front end, Claude-assisted document processing — built and operated on OCI end to end.
Writing
1 technical write-up
Experience
2 selected roles
Led the migration of legacy microservices from JavaScript to Go and built gRPC APIs backed by PostgreSQL and MongoDB.
Built Python scripts to automate document uploads and supported customer onboarding through scripting and technical assistance.
Engineering approach
provenance
Every number a system emits should be traceable to its source. If you can't audit it, you can't ship it.
end-to-end ownership
From schema to deploy to the invoice for the infra. Building my own projects taught me what "done" actually costs.
direct communication
Plain statements of what works, what doesn't, and what it will take. No marketing energy.
contact
Let's talk.
meschinidino@gmail.com- github
- github.com/meschinidino
- linkedin.com/in/dino-meschini
- cv
- cv.pdf ↓
- terminal