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Aldo User

@aldouser1

I build LLM, RAG, and deep-learning systems from data to AWS deployment.

Italy
Message

What I'm looking for

I'm looking for fully remote work building end-to-end AI and ML systems, from data preparation and model training to LLM applications, cloud-native deployment, and reproducible HPC workflows.

At Koexai, I build LLM-based multi-agent applications for automated technical-content generation, including RAG pipelines with ChromaDB and LangChain and QLoRA fine-tuning for domain adaptation. I also build cloud-native ML infrastructure on AWS for XGBoost models and large language models.

I've trained CNN, MLP, and Transformer classifiers on roughly 10 million low-signal astrophysical events, and developed a normalizing flow-guided nested-sampling system for hierarchical models on HPC clusters. I hold a master's degree in Computer Engineering and have contributed three scientific works on Bayesian inference.

Experience

Work history, roles, and key accomplishments

CS

Information Systems Engineer

Cielle Imballaggi SRL

Jun 2022 - Sep 2022 (3 months)

Developed and maintained company management software modules in Visual Basic and provided support for internal systems.

Education

Degrees, certifications, and relevant coursework

Amazon Web Services logoAS

Amazon Web Services

AWS Certified AI Practitioner, Artificial Intelligence

2026 - 2026

AWS Certified AI Practitioner certification obtained in March 2026.

Amazon Web Services logoAS

Amazon Web Services

AWS Certified Solutions Architect – Associate, Cloud Architecture

2026 - 2026

AWS Certified Solutions Architect – Associate certification obtained in April 2026.

UC

University of Catania

Master's Degree, Computer Engineering

2022 - 2024

Grade: 110/110

Master's Degree in Computer Engineering with a thesis on few-shot learning for bioacoustic classification, achieving a grade of 110/110.

University of Catania logoUC

University of Catania

Bachelor's Degree, Computer Engineering

2018 - 2022

Grade: 101/110

Bachelor's Degree in Computer Engineering with a thesis on CNN inference optimization through Assembly and sparse matrices, achieving a grade of 101/110.

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