Solano de Zuasnabar
AI Engineer
Tucumán — Argentina
AI Engineer with experience building and deploying production-grade AI systems — from LLM-powered backends and RAG pipelines to computer vision and automation workflows. I work autonomously in fast-moving environments, taking ownership from prototype to production and iterating based on real usage and stakeholder feedback.
Experience
View allDesign and deployment of production AI systems for multiple clients — direct stakeholder contact and ownership from prototype through iteration in production.
Blue Star Group · Isadora & Todomoda
Built and maintained AI tools for a large fashion retail group — semantic product search with store maps, product description workflows, and a multimodal design assistant for internal teams.
Integra · Agricultural SaaS
Owned two FastAPI backends for an agricultural SaaS product — a natural-language analytics chatbot over warehouse views, and a read-only alerts platform with cached snapshots and optional AI-assisted discovery.
Stack & Tools
Languages — Python, TypeScript, JavaScript
AI & LLMs — OpenAI API, Google AI, RAG pipelines, Embeddings, Semantic search, Multimodal search, Tool calling & agents
Backend — FastAPI, Celery, REST & webhooks, SSE streaming, Pydantic, Polars, WeasyPrint
Data & storage — SQL Server, PostgreSQL / Supabase, Redis, Qdrant, Pinecone
Frontend — Next.js, Streamlit, Tailwind CSS, shadcn/ui
Automation & infra — Docker, n8n, Zapier, Git / GitHub, Vercel, MCP servers
Also worked on
- Built and deployed RAG chatbots end-to-end: document ingestion, chunking, embedding management, vector store integration and LLM response generation.
- Web scraping pipelines using BeautifulSoup and requests for data collection and enrichment.
- MCP server integrations to connect AI models with external tools and data sources.
- Personal projects using Supabase (PostgreSQL) for backend data management.
Languages
Spanish — Native
English — Advanced — C1

