Kris Dorosz

Kris Dorosz

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Co-Founder & CTO
Gdańsk, Pomeranian Voivodeship, Poland

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Résumé

Jobs verified_user 0% verified
  • Air Space Intelligence
    Co-Founder & CTO
    Air Space Intelligence
    Jan 2018 - Current (8 years 6 months)
  • WeAre GmbH The Virtual Reality Engineering Base
    Technical Advisor
    WeAre GmbH The Virtual Reality Engineering Base
    Mar 2017 - Jan 2018 (11 months)
  • Uni Robotics
    ML Engineer
    Uni Robotics
    Jan 2017 - Jan 2018 (1 year 1 month)
    Uni Robotics is developing artificial intelligence for autonomous vehicles. We research scalable methods to train motion planning and routing policies through large scale simulations. Our firm supports companies across the stack from machine learning research, simulation environment set-up, algorithm implementation to deployment.
  • H
    CTO
    Hiro formerly known as GoodTime Labs
    Nov 2015 - Jan 2017 (1 year 3 months)
    GoodTime Labs brought intelligence to commerce and coined the term predictive commerce. • Architected and build the backend • Responsible for predictive models for consumer behaviour (machine learning) • Led engineering team of 5.
  • Samsung Electronics
    Senior Software Engineer
    Samsung Electronics
    May 2014 - Oct 2015 (1 year 6 months)
    • Machine Learning • Natural Language Processing • Text mining and Information Retrieval • Map-Reduce paradigm
  • AGH University of Krakow
    Assistant Professor
    AGH University of Krakow
    Mar 2013 - Sep 2014 (1 year 7 months)
    Computer Science Department, Natural Language Processing Group Taught following courses/lectures: • Natural Language Processing • Knowledge Representation • Python Language Performed research in the areas of focused web crawling, natural language processing, and machine learning.
  • Jagiellonian University
    Assistant Lecturer
    Jagiellonian University
    Oct 2009 - Mar 2013 (3 years 6 months)
    Department of Computational Linguistics
Education verified_user 0% verified
  • AGH University of Krakow
    Doctor of Philosophy (PhD, Computer Science
    AGH University of Krakow
    Jan 2012 - Dec 2012 (1 year)
    Focused crawling strategies driven by the deep semantics of text.
  • A
    Doctor of Philosophy (PhD, Computer Science
    AGH University of Science and Technology in Cracow
    Jan 2012
    Focused crawling strategies driven by the deep semantics of text.
  • AGH University of Krakow
    PhD studies, Computer Science
    AGH University of Krakow
    Jan 2006 - Jan 2011 (5 years 1 month)
    Msc thesis concerning crawling systems
  • Grenoble INP UGA
    Internship, Artificial Intelligence
    Grenoble INP UGA
    Jan 2006
  • AGH University of Krakow
    Master of Science (MSc, Computer Science
    AGH University of Krakow
    Jan 2001 - Jan 2006 (5 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • p
    python-rex
    Jan 2013 - Current (13 years 6 months)
    Python regular expressions for humans.
  • d
    django-getpaid
    Jan 2012 - Current (14 years 6 months)
    django-getpaid is carefully designed multi-broker payment processor for Django framework. I am core developer and maintainer of this project.
  • F
    FAMTAR: Flow-Aware Multi-Topology Adaptive Routing
    Jan 2012 - Dec 2014 (3 years)
    I was leading developers team to assure developing working prototype. The aim of the project is to specify, simulate and finally develop a device which will realize the concept of FAMTAR: Flow-Aware Multi-Topology Adaptive Routing. LIDER - 7th Framework Programme (FP7) Research project
  • P
    Private side project - highly scalable SaaS
    Jan 2009 - Current (17 years 6 months)
    I architected, developed and maintain a SaaS project in marketing&ad area, which deals with a reasonably big scale - it serves in 20 mln req/day (~4000 req/s peak) of fully dynamically generated graphical content (highly cachable). The software is using several levels of caching via different top-notch open-source pojects like varnish, memcached, redis, as also beeing extremely asynchronous in principle, which involves AMQP protocol based communication and distributed workers.
  • M
    Many research projects (EU 7FP) concerning webcrawling and NLP
    Jan 2006 - Dec 2014 (9 years)
    During my university period I have participated in many research areas with a common topic baseline of high scale, high precision vertical search engines (webcrawlers) aided with sophisticated semantic driven approaches for text searching and indexing.
Awards verified_user 0% verified
  • A
    Rector's Team Award
    AGH Rector
    Jan 2014
    Award for didactics achievements.
  • M
    Best Paper Award
    MCSS
    Jun 2012
    Paper: Latent semantic analysis evaluation of conceptual dependency driven focused crawling
Publications verified_user 0% verified
  • I
    Semantic Approach for Web Information Monitoring
    International Journal of Web Applications DLINE
    Jan 2013
  • S
    Latent Semantic Analysis Evaluation of Conceptual Dependency Driven Focused Crawling
    Springer Berlin Heidelberg Multimedia Communications Services and Security
    Jan 2012
    In this paper we study a focused crawler driven by deep semantic analysis provided by the Conceptual Dependency (CD) theory. We test in practice the application of CD scripts as an approach of defining topics (queries) in a focused crawler and its robustness in evaluating real text structures extracted from HTML documents. In order to benchmark its efficiency in comparison to classical approaches, apart from human evaluation we also provide an evaluation of the result set based on its internal similarity using Latent Semantic Analysis (LSA). The performed measurement brings us to the conclusion that the CD theory is well suited for evaluating the similarity of HTML documents provided a specific query, as it achieves a high precision measure
  • C
    Usage of Dedicated Data Structures for URL Databases in a Large-scale Crawling
    Computer Science Journal AGH
    Jan 2009
    The article discuss usage of Berkeley DB data structures such as hash tables and b-trees for implementation of a high performance URL database. The article presents a formal model for a data structures oriented URL database, which can be used as an alternative for a relational oriented URL database. Keywords: crawling, crawler, large-scale, Berkeley DB, URL database, URL repository, data structures.
  • C
    Enhancing Regular Expressions for Polish Text Processing
    Computer Science Journal AGH
    Jan 2009
    The paper presents proposition of regular expressions engine based on the modified Thompson's algorithm dedicated to the Polish language processing. The Polish inflectional dictionary has been used for enhancing regular expressions engine and syntax. Instead of using characters as a basic element of regular expressions patterns (as it takes place in BRE or ERE standards) presented tool gives possibility of using words from a natural language or labels describing words grammar properties in regex syntax.
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