Experience

Harver

• United States
• Software Development
• 100 - 200 Employee

• Machine Learning Engineer

  • Jun 2022 - Present



IQVIA

• United States
• Hospitals and Health Care
• 700 & Above Employee

• AI Engineer

  • Jun 2019 - May 2022

  Bratislava, Slovakia



Falcon.io

• Denmark
• Technology, Information and Internet
• 1 - 100 Employee

• Data scientist

  • Apr 2015 - May 2019

  Copenhagen Area, Denmark • Developed several data science microservices (noun phrase extraction, linking service - connecting social profiles of the same person from different networks, picture similarity for enhanced linking of social profiles, location(reverse) geocoding, sentiment analysis, gender prediction). • Data enrichment pipeline for Listen Falcon product with daily throughput almost 20 mil of documents. • Customer and product health service-modelling customer healthwith usage data of different… Show more • Developed several data science microservices (noun phrase extraction, linking service - connecting social profiles of the same person from different networks, picture similarity for enhanced linking of social profiles, location(reverse) geocoding, sentiment analysis, gender prediction). • Data enrichment pipeline for Listen Falcon product with daily throughput almost 20 mil of documents. • Customer and product health service-modelling customer healthwith usage data of different Falcon.io sub-products. Striking balance between easy interpretability (non-technical stakeholders involved) and modelling most of the customer behaviour aspects. • Supporting design team with data analysis and user behaviour understanding. Sequential pattern mining to identify frequent user actions. • Churn and up-sell prediction. Show less



Aalborg University

• Denmark
• Research Services
• 700 & Above Employee

• PhD student

  • Jun 2012 - Aug 2015

  Aalborg I am PhD student in Computer Science working on the project of Tag and Word clouds as means of navigation support in social systems. The objectives of my PhD project are development of novel tag selection methods in order to improve relevance, coverage and diversity of generated word clouds. Currently, we are focusing on summarization of social media data in particular how to personalize word cloud generation with respect to user preferences, how to enrich summarization with recognized named… Show more I am PhD student in Computer Science working on the project of Tag and Word clouds as means of navigation support in social systems. The objectives of my PhD project are development of novel tag selection methods in order to improve relevance, coverage and diversity of generated word clouds. Currently, we are focusing on summarization of social media data in particular how to personalize word cloud generation with respect to user preferences, how to enrich summarization with recognized named entities and development of topic maps for enhanced exploration of social network information space. Further, I have developed several prototypes using different open source software and platforms J2EE framework, Primefaces, JQuery, Apache Solr, ElasticSearch, Apache Mahout, etc. I like my PhD project as I have had an opportunity to get familiar with several interesting areas of Computer Science such as Information Retrieval, Recommendation Systems, Natural Language Processing and Data mining.

• Research assistant at Meco - medical personalized event-based surveillance project

  • Jul 2011 - Jun 2012

  Aalborg I was developing and designing word clouds and recommendation components for the medical personalized event-based surveillance project MECO. The aim of the project was to harvest social media data from different sources and exploit them as complementary reporting mechanism for medical surveillance experts. The project consortium consisted of several research groups from Europe. In our group in Aalborg, we were focused on adaptive tuning and personalization. (see the final project deliverable -… Show more I was developing and designing word clouds and recommendation components for the medical personalized event-based surveillance project MECO. The aim of the project was to harvest social media data from different sources and exploit them as complementary reporting mechanism for medical surveillance experts. The project consortium consisted of several research groups from Europe. In our group in Aalborg, we were focused on adaptive tuning and personalization. (see the final project deliverable - http://vbn.aau.dk/files/72483642/meco.pdf) More about projects at http://www.meco-project.eu/



University of Illinois Urbana-Champaign

• United States
• Higher Education
• 700 & Above Employee

• Visiting scholar at Text Information Management and Analysis Group supervised by pr. ChengXiang Zhai

  • Feb 2014 - Jun 2014

  Urbana-Champaign, Illinois Area Proposed a personalized word clouds generation from tweets exploiting different user past actions (retweets, implicit feedback, etc.). Designed and implemented a Beomap system - a visual topic map for browsing and exploring social media data. Awarded with Amazon research grant.



CSR

• United Kingdom
• Semiconductor Manufacturing
• 700 & Above Employee

• Software Tester

  • Jul 2010 - Jun 2011

  Developing, debugging and testing a protocol software on top of Cambridge Silicone Radio(nowadays Samsung)’s Bluetooth protocol stack. Further, I was writing Bluetooth qualification test cases. I was programming in C and I was using the following tools: make build system, Cygwin shell, Perforce and CSR DK’s own Bug tracking system.



Infinit

• junior javascript developer

  • 2009 - 2009

  Developing a front-end Javascript map application for Bratislava commune. I was working with Object Oriented Javascript, JQuery, OpenLayers, XHTML and CSS. As it was my first job, my code review regularly and I had an opportunity to improve my programming skills.