FLG / Computer Engineer

Software Engineering · Distributed Systems · Machine Learning

Franco
Lepratti Gilles.

Computer Engineer | Software Engineering · Distributed Systems · Machine Learning

Computer Engineer from Uruguay with professional experience in backend systems, APIs, SQL and production support, complemented by research in distributed systems and machine learning. I am particularly interested in software engineering, distributed systems, scientific computing and machine learning systems.

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01 / Profile

Engineering Profile

I am a Computer Engineer from Universidad de la República (UdelaR), Uruguay.

My professional experience is primarily focused on backend systems, requirements engineering, API integrations, SQL-based data validation, production support and technical coordination.

Alongside my professional work, I developed my undergraduate research project at the intersection of distributed systems and machine learning, implementing and evaluating a heterogeneous Graph Neural Network for latency prediction in microservice-based systems.

I am particularly interested in software engineering, distributed systems, scientific computing, machine learning systems and high-performance computing.

Currently based in Montevideo, Uruguay. EU citizen with an Italian passport and open to relocation.

02 / Experience

Professional
experience.

March 2025 – Present · Montevideo, Uruguay

Systems Analyst

Ministry of Social Development (MIDES) — Government of Uruguay

  • Analyze stakeholder requirements and translate operational needs into functional and technical specifications for internal public-sector systems.
  • Coordinate users, developers and external providers during implementation, testing, issue resolution and release validation.
  • Validate application behavior, SQL data, workflows and edge cases, supporting production readiness and troubleshooting.
  • Work with backend systems involving Java/JEE, Python, SQL, REST APIs and Redmine.
  • Contributed to an AI-assisted workflow that transforms free-form user input into structured system requests.

December 2023 – December 2024 · Montevideo, Uruguay

Junior Developer

Montevideo COMM

  • Developed and refactored enterprise web applications using GeneXus / Java and relational databases.
  • Optimized SQL queries and proposed code and architectural improvements focused on maintainability and scalability.

May 2023 – November 2023 · Montevideo, Uruguay

Web & Systems Support Intern

Isbel S.A.

  • Developed and maintained telecom-related backend functionality using PHP and SQL.
  • Supported database operations, application maintenance and server configuration.

03 / Featured research

2025 – 2026

LQ-GNN Latency Prediction in
Microservice Systems

Undergraduate Research Project — Universidad de la República

Implemented and evaluated a heterogeneous Graph Neural Network for end-to-end latency prediction in microservice-based distributed systems using PyTorch and PyTorch Geometric.

Building on a previously proposed LQ-GNN architecture, my work focused on implementation, reproduction and experimental evaluation in PyTorch / PyTorch Geometric.

The system represents microservice applications as heterogeneous graphs containing task, activity and path nodes, with relation-specific staged message passing.

Implemented custom GRU-based ordered aggregation and attention mechanisms, including sequential processing of activities within execution paths.

Experimental pipeline

  • JSON → PyG HeteroData
  • Data normalization & batching
  • Training & validation
  • Checkpointing & early stopping
  • Regression evaluation

Scientific computing

Experiments executed on ClusterUY, Uruguay’s national scientific computing infrastructure, using SLURM and NVIDIA P100 GPUs.

MINA Research Group · Instituto de Computación, UdelaR
Supervisors: Matías Richart & Javier Baliosian

Read the thesis Explore the code
04 / Technical Skills

Technical skills.

Programming

Python · Java · SQL · C++ · JavaScript · PHP

Machine Learning

PyTorch · PyTorch Geometric · TensorFlow · Graph Neural Networks · Heterogeneous Graphs · Message Passing · Attention · GRU

Backend / Data

Java/JEE · REST APIs · SQL Server · MySQL · MongoDB · Relational Databases · Data Validation

Systems / Infrastructure

Linux · Docker · Git · SLURM · GPU / HPC workflows · Microservices · Distributed Systems · Performance Modeling

05 / Education

Academic
background.

Universidad de la República (UdelaR)

Facultad de Ingeniería

Computer Engineering / Ingeniero en Computación

2020 – 2026

Computer Systems Analyst / Analista en Computación

Awarded 2024

Selected coursework: Machine Learning · Distributed Systems · Computer Networks · Numerical Methods · Computer Architecture

06 / Recognition

Recognition & Teaching

2021 – 2022

Academic Excellence Scholarship

Fundación Julio Ricaldoni

Scholarship for Academic Dedication and Merit in Computer Engineering.

2024

Peer Tutor — Calculus I

Universidad de la República

Peer-assisted learning sessions for first-year engineering students.

07 / Contact

Contact & Availability

Open to international opportunities in software engineering, distributed systems, scientific computing and machine learning.

LinkedIn ↗GitHub ↗Research GitLab ↗Official thesis ↗

Montevideo, Uruguay
EU Citizen — Italian Passport
Open to relocation

Languages Spanish — Native
English — Intermediate