Description

I help technical companies design and build production-ready AI systems that turn complex knowledge, workflows and business requirements into reliable software.

I specialize in LLM applications, Retrieval-Augmented Generation (RAG), AI automation and multi-tenant SaaS platforms.

My work typically includes AI solution architecture, Python and FastAPI backend services, semantic search, vector databases, PostgreSQL data systems, API integrations and React / Next.js applications.

I can support projects from technical discovery and architecture through implementation, integration and production delivery.

Typical deliverables include:

• RAG and enterprise knowledge systems

• LLM-powered applications

• AI agents and workflow automation

• Multi-tenant AI SaaS platforms

• FastAPI services and backend architecture

• Semantic search and vector database pipelines

• Human-in-the-loop AI workflows

• AI provider and third-party API integrations

• Technical MVPs and production-ready applications

My background in Industrial Engineering gives me a systems-oriented approach to software. I focus on requirements, constraints, dependencies and operational processes before defining the architecture.

The objective is simple: build AI systems that solve real operational problems and can be integrated into actual company workflows.

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Native or bilingual
Italian
Fluent

Workplace preferences

Remote only

Primarily works remotely

Kleidos Biotech
AI Solutions Engineer | Research Platforms
BIOTECH
November 2025 - Today (9 months)
Milan, Italy
Design and development of production-ready software and AI-enabled systems for biotechnology and genomic research platforms.

I translate complex scientific and business requirements into scalable technical architectures, APIs, data workflows and user-facing applications.

Key responsibilities and technologies:

• Full-stack architecture with React, TypeScript, Python and FastAPI
• AI and LLM integration for technical and knowledge-intensive workflows
• Retrieval-Augmented Generation (RAG) and semantic retrieval systems
• PostgreSQL-based data architecture and API design
• Dockerized services and production deployment workflows
• Integration of external APIs, payment systems and operational services
• Human-in-the-loop workflows for controlled AI-assisted processes
• Technical analysis, solution architecture and implementation from requirements to production

My work focuses on bridging domain experts, business requirements and engineering execution to deliver reliable software systems for complex technical environments.
Python FastAPI Typescript VueJS Angular
Ingenarte
AI Solutions Engineer | Independent Consultant
DIGITAL AND IT
January 2025 - Today (1 year and 7 months)
Design and implementation of AI-enabled software products, automation systems and technical MVPs for companies with complex operational and knowledge workflows.

My work includes LLM applications, Retrieval-Augmented Generation architectures, semantic search, vector databases, Python and FastAPI backend services, React and Next.js applications, PostgreSQL systems and Docker-based environments.

I also integrate external APIs, cloud and local AI models, browser automation, AI voice, avatar and generative video workflows.

I work across requirements analysis, software architecture, implementation and technical validation, with a focus on integrating AI capabilities into reliable business systems.
artificial intelligence LLM RAG Python FastAPI
Aether
AI SaaS Architect | Content Operations Platform
DIGITAL AND IT
May 2026 - Today (3 months)
Architecture and development of a multi-tenant AI Content Operations platform for technical B2B companies.

The platform transforms company knowledge into approved multi-format content through controlled AI workflows covering ingestion, parsing, chunking, indexing, retrieval, generation, verification, human review and publishing.

The technical architecture includes PostgreSQL for structured data, Qdrant for semantic retrieval, S3-compatible object storage, full-text search, Python, FastAPI, React, Next.js and Redis Streams.

I also designed multi-tenant workspace isolation, Bring Your Own Key AI provider integration, human approval workflows and integrations with cloud and local LLM providers and AI media platforms.
artificial intelligence LLM Qdrant vector db PostgreSQL