Tadej Štajner

Contact

tadej@tdj.si

Things I do

  • Verticals: natural language processing, conversational systems, speech recognition, mobility and traffic modeling, sensor fusion, process mining, multilingual search
  • Machine learning and data science:statistical modeling, anomaly detection, knowledge management, information retrieval, semantic web, machine learning lifecycle, neural network architectures, model tuning and search, patent creation
  • Software engineering: data engineering, numerical computing, distributed systems, high performance computing, SQL, web development, concurrent development, microservices, systems programming, DevOps, privacy engineering, real-time systems
  • Product: experiment design, product validation, prototyping

Current position

Open for new opportunities.

Previous positions

  • Lead Data Scientist, HERE Technologies, Berlin, Germany (March 2015 - March 2020)
    • Developing machine learning solutions for automotive products and services
    • including vehicle destination prediction, vehicle departure time prediction, traffic-aware travel time prediction, natural language understanding for voice input, high-precision vehicle positioning, forecasting and simulation systems
    • Developing digital twin simulations for forecasting service behavior to support product decisions
    • Developing distributed data processing software facilitating the above goals
    • Developing, deploying, maintaining automated anomaly monitoring systems for the data quality of automotive safety services
    • Mentoring MSc students and junior developers
  • Data engineer, TVBeat, Ljubljana, Slovenia
    • Processing and analysis of real-time TV viewer habits
  • Co-founder, lead developer, Magazinius, Ljubljana, Slovenia (May 2013 - April 2014)
    • A next-gen digital publishing and design tool with responsive automated layout.
  • Research assistant, Artificial Intelligence Laboratory, Jožef Stefan Institute, Ljubljana, Slovenia (December 2009 - April 2014)
    • Named entity disambiguation using background knowledge (linking text with knowledge - demo)
    • Triple store for fast entity retrieval and entity graph algorithms (knowledge graph database - demo)
    • Named entity extractor for slovene (finding mentions of proper names, part of enrycher, available here)
    • Summarizing microposts in social media (Twitter summarization - show only most interesting posts)
    • Multi-lingual sentiment analysis for English and Spanish
    • Fast training of sentiment analysis models using active learning (demo)
    • Recommender system for contextualization of knowledge work (Suggest documents and e-mails related to what you're currently doing)
  • Developer, Zemanta (May 2008 - November 2008)
    • Content analysis back-end development
    • NLP, Python, C++, Linux
  • Developer, SRC.SI (June 2004 - September 2007)
    • Development of applications for business process support (Struts/Java)
    • Front-end development, UI (HTML, JavaScript, JSP)

Presence

Other activities

  • Yahoo! Research, Barcelona: Visiting Researcher: June 2011 - October 2011 (Research on summarization models for social media content in response to news)
  • W3C Working group: Multilingual Web - LT (development of a standard for the process of localization and internationalization; my focus is on integration of automated language tools in the content authoring and enrichment step)

Education

Selected publications and patents

More:

Presentations