Alberto Marinelli | OpenTalent | OpenTalent

Alberto Marinelli

NLP Engineer

https://www.opentalent.in/alberto-marinelli

Data Science | Machine Learning

WeRoad

Key Strengths

Extensive academic background in AI and Computer Engineering, including a Master's in AI and Robotics.
Significant professional experience as a Data Scientist and Machine Learning Engineer, with direct exposure to NLP and LLM.
Demonstrated commitment to continuous learning through multiple Coursera Deep Learning Specialization certifications.
Experience in diverse companies (WeRoad, Enel Group, iGenius) indicates adaptability.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Rome, Lazio, ItalyMember since June 24, 2026

https://www.opentalent.in/alberto-marinelli

Top Skills

Computer VisionNatural Language ProcessingNlpDockerLlmMachine LearningPythonTensorFlowProject PlanningMicrosoft OfficeC++JavaJavaScriptAndroid SdkHTMLlatexDeep LearningPyTorch

Skills

Computer VisionNatural Language ProcessingNlpDockerLlmMachine LearningPythonTensorFlowProject PlanningMicrosoft OfficeC++JavaJavaScriptAndroid SdkHTMLlatexDeep LearningPyTorch

Education

Iscte - Instituto Universitário de Lisboa

Master's degree in Computer Engineering

January 1, 2013 – January 1, 2014

Sapienza Università di Roma

Master's degree, Artificial Intelligence and Robotics

January 1, 2012 – January 1, 2016

University of Camerino

Bachelor of Science (B.Sc.), Scienze informatiche

January 1, 2009 – January 1, 2012

Experience

WeRoad

Senior Data & Machine Learning Engineer

November 1, 2024 – Present

Enel Group

Data Scientist

May 1, 2020 – October 1, 2024

Rome, Latium, Italy

iGenius, the AI company

Machine Learning Engineer

January 1, 2017 – October 1, 2019

Milano, Italia

Certifications

Neural Networks and Deep Learning

Coursera

June 24, 2026 – Present

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Coursera

June 24, 2026 – Present

Deep Learning Specialization

Coursera

June 24, 2026 – Present

Sequence Models

Coursera

June 24, 2026 – Present

Convolutional Neural Networks

Coursera

June 24, 2026 – Present

Structuring Machine Learning Projects

Coursera

June 24, 2026 – Present

Key Strengths

Extensive academic background in AI and Computer Engineering, including a Master's in AI and Robotics.
Significant professional experience as a Data Scientist and Machine Learning Engineer, with direct exposure to NLP and LLM.
Demonstrated commitment to continuous learning through multiple Coursera Deep Learning Specialization certifications.
Experience in diverse companies (WeRoad, Enel Group, iGenius) indicates adaptability.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's experience spans different company types (startup, large enterprise), suggesting adaptability. The focus on AI/ML roles aligns well with a technical, innovation-driven culture. However, without project details, it's hard to assess collaboration or specific work style preferences.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.