Luigi Lomasto

Master's Degree in Computer Science

110/110 cum Laude

2014 - 2016

Università degli studi di Salerno

Curriculum: Data and knowledge management systems

Bachelor's Degree in Computer Science

2009 - 2014

Università degli studi di Salerno

Apache Spark 3 - Real-time Stream Processing using Python

27/01/2021

Natural Language Processing Specialization

22/10/2020

Scrum Fundamentals Certified

20/06/2020

Machine Learning By Andrew NG

18/04/2020

IBM-Scalable Machine Learning on Big Data using Apache Spark

01/12/2019

Eustema S.p.A.

Senior Researcher

09/2022 - Present

Italy

Research and development activities for legal solutions using Artificial Intelligence and NLP.

ProfessionAI

Natural Language Processing Coach

01/2022 - Present

Italy

I'm currently a Natural Language Processing Coach at ProfessionAI.

Malwarebytes Inc.

Data Engineer / Machine Learning Engineer

01/2021 - 10/2021

Perugia, Italy

I have worked as Data Engineer at Malwearebytes to realize a new data architecture for the EDR product. The main technologies that I have used for this activity are ElasticSearch, Spark, Spark Structured Streaming, AWS services like Amazon Neptune, Amazon Redshift, SQS, S3, Amazon EMR.

Eustema S.p.A.

Machine Learning and Data Engineer | NLP Engineer | System Analyst and Researcher (R&D)

02/2019 - 01/2021

Naples, Italy

I worked in the R&D area of Eustema S.p.A as a Machine Learning Researcher and Data Engineer on the project SLeM - Smart Legal Management. I studied and developed strategies to realize AI models in the area of Legal Risk Management in order to design contract review and compliance management activities with natural language processing algorithms and machine learning. I have worked to implement NLP models such as Legal-NER, Legal Embedding (word2vec, doc2vec, BERT), Legal Keywords Extraction, Legal Text Classification and Outcome Prediction for legal judgments. In addition to research and development activities, I was also responsible for the drafting of the project deliverables.

Innovation Engineering

Software Engineer / Machine Learning Engineer

03/2017 - 01/2019

Naples, Italy

Research and development activities in NLP and Machine Learning environment (Information Extraction, Knowledge Discovery and Data Management). I worked to realize a Documents Classifier using Machine Learning algorithms such as Neural Networks, SVM, Clustering, PCA and other, with Python’s Libraries (Pandas, Scikit), Wikipedia’s API (to build a big hierarchical dataset), and customization of the EuroVoc taxonomy useful to define main categories. I wrote a paper about the realized classifier. (See Publications section). The final goal was to classify Wheesbee’s contents. Wheesbee is a scientific search engine useful for innovation and research activities.

• I worked to realize an automatic content suggester using a text classifier in order to suggest relevant content (about 60 million between technical papers and patents) to the users. I used NoSql DB like Solr, microservices and distributed solutions like Docker and Spark.
• I developed a Language Detection model to divide documents in West and Eastern main languages using Multinomial Naive Bayes and Neural Networks with n-grams approach.
• I worked as Full Stack Developer on Wheesbee with Spring Boot, Spring Data, Spring Integration, Solr and MySQL.

Reply S.p.A.

IT Consultant

10/2016 - 02/2017

Rome, Italy

Security Consultant at "Telecom Italia Trust Technology". I worked with eIDAS legislation on issuing digital signatures conforming to the law.