
Aldo User
@aldouser1
I build LLM, RAG, and deep-learning systems from data to AWS deployment.
What I'm looking for
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
AI/ML Engineer · Data Scientist
Koexai
Dec 2024 - Jul 2026 (1 year 7 months)
Developed LLM-based multi-agent applications for automated technical content generation, including RAG pipelines and fine-tuning of open-source models. Built cloud-native ML infrastructure on AWS and trained deep learning models for astrophysical signal classification.
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
AWS Certified AI Practitioner, Artificial Intelligence
2026 - 2026
AWS Certified AI Practitioner certification obtained in March 2026.
Amazon Web Services
AWS Certified Solutions Architect – Associate, Cloud Architecture
2026 - 2026
AWS Certified Solutions Architect – Associate certification obtained in April 2026.
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
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.
Availability
Location
Authorized to work in
Portfolio
github.com/AldoBarcaSalary expectations
Social media
Skills
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