Alessandro Pirrotta

Copenhagen, Denmark · alessandro@pirrotta.xyz

I am leading a team of five engineers on the PFA AI Platform, driving innovation and efficiency. I thrive in Agile work environments where learning, applying new skills, and professional growth are paramount. I value a workplace where hard work is balanced with a good sense of humor. My passion lies in leveraging my development experience to build platforms that enable swift time-to-market for developers' models and software.

Experience

Senior Data Science Engineer

PFA Pension - Copenhagen, Denmark

Developing a new AI Platform in Azure Cloud based on Kubernetes using IaC, Bicep, ArgoCD. Maintaining on-prem AI Platform (RHEL 7, incident handling, Posit Teams). Supporting Continuous Integration and Continuous Delivery/Deployment for data science products developed in R and Python.

December 2021 - Present

Data Science Engineer

PFA Pension - Copenhagen, Denmark

Setting and supporting Continuous Integration and Continuous Delivery/Deployment while developing data science tools. Cloud exploration for future AI solutions running in Azure.

February 2020 - November 2021 (1 year and 11 months)

Senior Consultant

Capgemini Danmark - Copenhagen, Denmark

Working within data science and data engineer leveraging Google Cloud Platform services such as Cloud Functions, BigQuery, and AutoML.

September 2019 - January 2020 (5 months)

Data Scientist

DFDS - Copenhagen, Denmark

I applied machine learning and data mining to optimize business operations gaininig a multitude of front- and back-end experience.

January 2018 - August 2019 (1 year and 8 months)

Intern

BASF - Ludwigshafen, Germany

Synthesis of active ingredients forfungicide research at the R&D Organic Chemistry Section.

June 2012 - August 2012 (3 months)

Education

University of Copenhagen

Doctor of Philosophy (PhD)
Subject: Chemistry
Thesis: Modulating Pathways for Electron and Energy Transfer Through Molecules
2013 - 2017

University of Copenhagen

Master of Science (M.Sc)
Subject: Chemistry
Thesis: Simulated Force-Conductance Spectroscopy of Bimolecular Hydrogen-Bonded Complexes.
2012 - 2015

University of Glasgow

Bachelor of Science (B.Sc)
Subject: Chemistry
Thesis: Cu-catalysed enantioselecive aminaton/oxidaton of allylic and benzylic C-H bonds.
2010 - 2012

Skills

Programming Languages & Tools
  • Over 5000 lines: Python • R • SQL • Bash • Flask • LATEX
  • Over 1000 lines: JavaScript • HTML • CSS • OR-Tools
  • Familiar: Matlab • Fortran • C
  • Python libraries: Matplotlib • NumPy • SciPy • Pandas • Scikit-learn • TensorFlow • Keras
Cloud Services
Languages
  • Italian - Mother tongue
  • English - Fluent
  • Danish - Fluent
Principles
  • Literate programming
  • Test driven development
  • Agile Development

Interests

I like to code and tinker also in my free time. I have previously developed small applications for smartwatches in C and JavaScript.

Apart from coding, I enjoy cooking and transforming raw ingredents into delicious meals to be enjoyed with good company.

I also enjoy reading, watching sci-fi movies and series, but most of all I enjoy spending time with my daughter and my wife. I spend a lot of my free time reading about the latest advancement in electronics, IT, and technology.

Awards & Certifications

  • Best Poster Presentation Award - Bachelor Project - School of Chemistry - University of Glasgow - May 2012
  • Lang Scholarship for the Best Student in Chemistry - University of Glasgow - School of Chemistry - June 2011
  • Award for Excellence issued by Italian Ministry of Education - August 2008
  • International Chemistry Olympiads - Palermo and Sicily selection - May 2008