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Gabriele Desimini

@gabrieledesimini

AI Engineer at S.D.Q. Solutions building agentic AI products, including Text4Quote’s multi-turn LangGraph agent with persistent memory.

Italy

Message

What I'm looking for

I'm planning to relocate for the right role.

At S.D.Q. Solutions s.r.l.s. and through independent engagements, I deliver AI integrations, workflow automation, custom software, and consultancy. For Text4Quote, I built an end-to-end LangGraph agent with multi-turn flows, external API tool calling, persistent memory, and structured outputs, backed by FastAPI and database-backed state.

For GrantSpider, I owned the technical direction of a multi-agent LLM platform using RAG across structured and unstructured sources. I developed its retrieval strategy and quality measurement, added guardrails and automated evaluation pipelines, and implemented React dashboards for human review.

At NASA / San Jose State University, I led the architecture and technical direction for transformer-based decision support services, from data ingestion through deployment on Kubernetes. Earlier, I built ML lifecycle pipelines for Vision Transformer models at BagsID, improving throughput by 40% while reducing infrastructure cost.

Experience

Work history, roles, and key accomplishments

Current

Founder and CTO

Current

S.D.Q. Solutions s.r.l.s.

Jul 2025 - Present (1 year 3 months)

Founded S.D.Q. Solutions s.r.l.s. and independent engagements, delivering AI integrations, workflow automation, custom software realization, and consultancy for client organizations.

AI LangGraph fastAPI React Product Development Consulting

Artificial Intelligence, Machine Learning and Software Engineer

NASA / San Jose State University

Nov 2024 - Nov 2025 (1 year)

Led architecture and technical direction for transformer based decision support services, owning the end to end pipeline from data ingestion through training, validation, and deployment on Kubernetes under strict SLOs.

Transformers Kubernetes Agent orchestration Telemetry Streaming RAG Observability Blue Green Deployment

Freelance Machine Learning Engineer

BagsID

Nov 2023 - Sep 2024 (10 months)

Built ML lifecycle pipelines for Vision Transformer models covering training, evaluation, and deployment, with reproducible experiment tracking and model versioning; operated distributed inference services on Docker and Kubernetes.

Vision Transformer ML Pipelines Docker Kubernetes Experiment Tracking Model Versioning

Senior Quantitative Analyst

Atradius

Oct 2022 - Nov 2023 (1 year 1 month)

Built and operated high throughput ETL and ML pipelines over billions of records in a regulated financial environment, covering data ingestion, feature engineering, training, and deployment on Linux based distributed systems.

ETL ML Pipelines Data Warehouse Monitoring Drift Detection Statistical Validation

ML Infrastructure Engineer

Supplai

Jan 2022 - Oct 2022 (9 months)

Architected Kubernetes based ML deployment stacks with Terraform and GitHub Actions; built automated retraining and evaluation loops, exposed REST APIs for real time predictions, and deployed vision models to NVIDIA Jetson edge hardware.

Kubernetes Terraform GitHub Actions REST APIs NVIDIA Jetson TensorRT

AI Consultant

ESA / OHB / ATG Europe

Jan 2020 - Dec 2021 (1 year 11 months)

Consulted across three prime and agency environments, translating client and operational requirements into telemetry pipelines and anomaly detection systems for mission critical satellite operations under strict reliability SLAs.

Telemetry Anomaly Detection Satellite Operations Web Delivery

AIT Engineer

SITAEL

Jun 2018 - Jan 2020 (1 year 7 months)

Executed assembly, integration and test campaigns for satellite platforms under ECSS governed procedures, contributing to 20+ missions; built Linux based automation and orchestration tooling for distributed hardware integration.

Assembly Integration Testing ECSS Linux Automation

Machine Learning Engineer

SIA Labs Srl

Set up a combined graph and vector database with customer data ingestion, built agentic graph RAG over it, and implemented in-graph user query and agentic trace logging.

Graph Databases Vector Databases RAG Agentic AI Data Ingestion

Founding Engineer

GrantSpider

Owned technical direction for a multi agent LLM platform built on RAG over structured and unstructured sources, covering chunking, indexing, embedding selection, hybrid retrieval, and re-ranking.

RAG Multi Agent Systems LLM Hybrid Retrieval Reranking Evaluation GuardRails React

Co-founder and CTO

Text4Quote

Built an end to end LangGraph agent with multi turn flow, tool calling over external APIs, persistent memory and structured outputs, backed by FastAPI and database backed state.

LangGraph fastAPI Tool calling Persistent Memory Structured Outputs