Pablo Amil Marletti
Senior Software Engineer · AI & Complex Systems · Remote
Solymar, Uruguay
pablo.amil.marletti@gmail.com
LinkedIn
•
Google Scholar
•
ResearchGate
Download CV
Profile
Senior Software Engineer with a PhD in Physics specializing in artificial intelligence,
complex systems, and data analysis. Strong background in translating complex real-world
problems into robust, scalable software solutions.
Experience spans AI research, academic teaching, and industry work in life insurance systems,
including algorithm design, data warehousing, and system integration.
Professional Experience
Lifeware — Senior Software Engineer
2020 – Present
- Designed and implemented core algorithms for life insurance systems.
- Developed data warehouse reporting solutions for business intelligence.
- Built anonymization tools including GUI and reporting systems.
- Implemented automated communication systems using message queues (MQ).
- Worked across full lifecycle: requirements, design, implementation, and testing.
Universitat Politècnica de Catalunya (UPC) — AI Researcher
2016 – 2020
- Developed machine learning systems for medical image analysis.
- Worked on laser data analysis and nonlinear systems.
- Taught physics courses for engineering students.
Universidad de la República — Researcher / Assistant Professor
2013 – 2016
- Research in nonlinear physics, simulations, and complex systems.
- Designed experiments and analyzed experimental data.
- Taught multiple physics courses.
Technical Skills
Smalltalk
SQL
Python
MATLAB
C / C++
Data Analysis
Machine Learning
Algorithms
Signal Processing
Complex Systems
Education
PhD in Computational and Applied Physics
Universitat Politècnica de Catalunya (UPC)
Master in Engineering Physics
Universidad de la República
Bachelor in Physics
Universidad de la República
Selected Publications & Patents
- Outlier mining methods based on graph structure analysis — Frontiers in Physics (2019)
- Machine learning algorithms for chaotic laser prediction — Chaos Journal (2019)
- Network-based features for retinal image analysis — PLOS ONE (2019)
- Patent: Anomaly detection using network analysis
- Patent: Image processing for glaucoma detection
View full list →
Languages
- Spanish — Native
- English — Proficient (CPE)
- Portuguese — Intermediate