Eimantas Jazonis

Data Engineer

Eimantas Jazukevicius is passionate about software development, big data, data science, and technology fields. Before joining Argyle, he was a Data Engineer at Cognizant.

At Cognizant, Eimantas was primarily was responsible for maintaining and improving overall ETL architecture of the day to day data processing pipeline, deploying, maintaining and optimizing Machine Learning models, and supporting and collaborating with Data Science and Business teams to achieve scalable technical solutions.

In 2017, he was a Student Software Developer/Data Scientist at Digital Lab with Nets Innovation Hub. He was responsible for implementing object recognition and classification system using deep learning techniques, coordinate classification system using machine learning techniques, and face detection, recognition and authentication systems using Microsoft Azure and Face++ API.

He was a Software Developer Trainee at Valuetech Group in 2016 and a Converter at Publish Interactive for a year prior.

Eimantas earned his Bachelor’s degree in Electrical and Electronics Engineering from Kaunas University of Technology in 2016 and a Master’s degree in Computer Software Engineering from IT-Universitetet i København (IT University of Copenhagen) in 2018. In 2017, Eimantas was a Guest Student in a Software Development deep learning course at DTU - Technical University of Denmark.