Portrait of Ale Zanello

Ale Zanello Agentic AI & GenAI Engineer

6+ years shipping software. Now: production multi-agent systems.

Available for freelance· Córdoba, Argentina · Remote
Role
Agentic AI & GenAI Engineer
Location
Argentina (remote, worldwide)
Years of experience
6+ years full-stack, focused on agentic AI
Core AI stack
LangChain, LangGraph, Model Context Protocol (MCP), RAG, multi-agent systems, OpenAI, Anthropic Claude, Google Gemini
Engineering stack
TypeScript, Python, Rust, Dart, Next.js, NestJS, Flutter, Supabase, PostgreSQL with pgvector
Availability
Open to freelance contracts via Upwork and direct contact
Résumé
Full CV at azanello.com/cv — downloadable PDF at azanello.com/Alejandro_Zanello_Resume.pdf
Open source
Author of Akashi, a provider-neutral multi-agent framework for Dart and Flutter published on pub.dev; core contributor to Somnio AI Tools
Certifications
IBM Generative AI Engineering Professional Certificate (IBM via Coursera, 16 courses, October 2026); Agentic AI Engineering Specialization (Edureka via Coursera, 4 courses, May 2026); and AWS Certified Cloud Practitioner (Amazon Web Services, May 2024) — 19 individually verifiable course certificates in total.
Hiring? → Recruiter briefRésumé PDF ↓
githublinkedincredlyupwork

02 / Capability map

View complete graph ↗

Skills

Projects

Roles

Credentials

View complete graph ↗

03 / Proof

yrs shipping
6+
Akashi pkgs on pub.dev · 160/160 core
13
IBM GenAI Eng. PC courses
16
credentials · 19 courses
3
contributions · 2026
6,696

04 / Spotlight

Author & maintainer
AkashiProvider-neutral agent framework for Dart & Flutter
pub.dev ↗GitHub ↗Live Demos ↗Explore ↓

05 / How I work

agentic coding · multi-agent orchestration
Environment
  • Orca ADE — My agentic development environment: several coding agents running in parallel, each in its own isolated git worktree and terminal, with shared skills and automations.
Coding agents
  • Claude Code — My primary coding agent — spec execution, refactors, debugging and full features from detailed plans.
  • Codex — OpenAI’s coding agent, used side by side with Claude Code for second opinions and parallel tasks.
  • Grok — xAI’s model, used as another independent agent when cross-checking plans and reviews.
  • Cursor — AI-powered IDE for quick, inline edits next to the terminal agents.
Orchestration
  • Multi-agent workflows — Fan out work to parallel agents, then verify and merge their results.
  • Scheduled routines — Recurring agent runs for reviews, monitoring and upkeep.
  • Hooks & skills — Reusable skills, subagents and hooks that encode how a codebase is worked on.
  • MCP servers — Tools and data exposed to agents through the Model Context Protocol.
  • Spec-driven development — Detailed specs first, then execution by agents — less rework, fewer hallucinations.

06 / Explorer

10 projects · 6 roles
Author & maintainer

Akashi

Provider-neutral agent framework for Dart & Flutter — a 14-package monorepo with 13 packages published on pub.dev, bringing the agent runtime primitives Python and TypeScript take for granted to the Dart ecosystem. Multi-agent orchestration via subagent-as-tool, control handoffs, and per-step model escalation.

  • 13 packages on pub.dev
  • 160/160 pub points (core)
  • 4 provider adapters
DartFlutterMulti-AgentMCPRAGOpenTelemetry
Live Demos ↗pub.dev ↗GitHub ↗
Core contributor

Somnio AI Tools

Open-source CLI that installs and runs AI agent skills, health checks, and security audits for Flutter and NestJS projects across Claude Code, Cursor, Gemini, and other AI coding CLIs.

  • #2 contributor by commits
  • 15 merged PRs
CLIAI WorkflowsPythonDartShell
GitHub ↗