Alessandro Benedetti

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ABOUT ME

Senior Search Software Engineer

I am a passionate software engineer with a strong will to learn and improve myself continuously across a wide range of different areas.
My focus and favourite work would be in R&D on information retrieval, information extraction, natural language processing and machine learning with a big emphasis on data structures, algorithms and probability theory.

Experience with a great variety of clients has taught me to be a proficient, professional consultant and allowed me to develop excellent interpersonal skills.

I have a strong inclination for teaching, a passion which grew during my academic career where I tutored students and taught Summer preparation courses at the high school level. This interest continued to grow after University as I taught specific technical topics (mostly search related) to customers.

And last but not least I'm a Beach Volleyball player, Sport Event organizer in my home town and a crazy snowboarder.

Specialties: Semantic Search Engines, Architectural & Design patterns, Java designer & developer, Data Extraction from web sites, Natural Language Processing, XML

Conference sessions :

"Content Discovery Through Entity Driven Search" - ECIR, Apr 2014 @Amsterdam
"Multi Language Content Discovery Through Entity Driven Search" - Lucene/Solr Revolution, Nov 2014 @Washington DC

Italian, English

London (+01:00)

Joined August 2016

EXPERTISE

Search algorithms

8 years experience

Started with my master thesis ("Outdesit – A new approach to improve/support semantic search in the web") I have been growing my interest...

Started with my master thesis ("Outdesit – A new approach to improve/support semantic search in the web") I have been growing my interest in Information Retrieval and Search technologies. I have worked as a consultant for a number of years, but my main focus is on R&D Projects. I have worked with Apache Solr and Lucene in a number of different projects with a big focus on : - Internals - Autocompletion - Document similarity - Document classification - Semantic integration - Scoring and re-ranking - Learning to Rank ...

Apache Lucene Information Retrieval AutocompleteMore like thisSemantic searchLearning to rank Text analysis Apache Solr

Machine Learning

4 years experience

Starting in 2009 with my master thesis, I had different experiences related the topic. From natural language processing to supervised an...

Starting in 2009 with my master thesis, I had different experiences related the topic. From natural language processing to supervised and unsupervised learning, progressing in my career I had the chance to face different challenges in machine learning. Got the Coursera certification in 2013 and then intermittently work on the topic until I strongly dedicated my attention to Learning To Rank algorithms and in particular to Lemur project RankLib .

Classification Learning to rank Clustering

Classification Learning to rank ClusteringRanklibCluster AnalysisLambdamartLinear regression NLP (Natural Language Processing)

Java

10 years experience

Started programming in Java at University, I immediately liked the object oriented programming paradigm. I experienced a number of proje...

Started programming in Java at University, I immediately liked the object oriented programming paradigm. I experienced a number of project and worked with a number of open source frameworks. My focus is on code quality, readability and testing. Keep it simple is my motto and I always try to create software as maintainable as possible.

RESTful API Integration Testing Apache Maven

RESTful API Integration Testing Apache Maven Unit Testing Persistence Gradle Java 8 Java EE Concurrent Programming Spring Boot

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