Łukasz Augustyniak

Łukasz Augustyniak

Data Scientist / Machine Learning Engineer / AI Consultant

Department of Computational Intelligence, Wroclaw University of Science and Technology


Łukasz is a Data Scientist / AI Consultant with 8+ years of experience in various ML projects (social media monitoring, call center’s transcriptions analysis, recommendation engines, information extraction from texts, legal texts analysis, and many more).

An award-winning Ph.D. student at the Wroclaw University of Science and Technology is working on artificial intelligence methods to analyze natural language, especially attitude analysis, generating abstract summaries of text collections for many languages, including English and Polish.

Lecturer at scientific and business conferences related to artificial intelligence, lectures given worldwide - Poland, United States, Italy, Great Britain, Belgium, China, Vietnam, Singapore. He actively participated in many national and international scientific projects: ENGINE, RENOIR, PL-Grid, TRANSFORM, cooperating with such research units as Stanford University (USA), Rensselaer Polytechnic Institute (USA), Notre Dame University (USA), Johns Hopkins University (USA), Nanyang Technological University (Singapore), Universidad Carlos III de Madrid (Spain), Jozef Stefan Institute (Slovenia).

He is co-author of many scientific publications in attitude analysis, information retrieval, and spoken language understanding, including those published in prestigious international journals such as Entropy and Neurocomputing. He is a laureate of the governmental TOP 500 Innovators program, within the framework of which he gained knowledge on the commercialization of scientific research at Cambridge and Oxford Universities. Simultaneously, with his computer science studies, he received a master’s degree in law at the University of Wroclaw.

He received MSc in Computer Science from the Wroclaw University of Technology in 2013 with distinction. He also received an MA in Law from Wroclaw University in 2014, and he is still actively interested in the legal aspects of IT and analysis of legal documents using NLP.

He has implemented business projects such as social media monitoring (Brand24), analysis of transcripts in call centers (AVAYA, Spoken Communication), recommendation engines for marketing actions (8thlab, startup), text extraction (MeaningCloud), data analysis in automotive (Edvantis) and many others.

For several years he has also been a consultant on issues related to machine learning and Data Science.


  • Sentiment Analysis
  • Information Extraction from Texts
  • Legal Text Analysis
  • Social Media Monitoring
  • ASR Transcriptions Analysis
  • Language Modeling
  • Recommendation Engines
  • IP Law


  • PhD in Computer Science, Artificial Intelligence

    Wroclaw University of Science and Technology

  • Science - Management - Commercialization, 2015

    Cambridge University, UK

  • Master in Law, 2014

    Wroclaw University

  • MsC in Computer Science (excellent grade), 2013

    Wroclaw University of Science and Technology


AI Solutions Due Diligence

AI Architecture Planning

Conversational AI

Sentiment Analysis

Information Extraction



IP Law

Recommendation Engines

Social Media Analytics

Spoken Language Understading

ML Teams Hiring



Head of Data Science


May 2019 – Present Wrocław / Remote

Data Science for Edvantis clients: what they do, how they do it, how Edvantis we can keep improving their products with Data Science.

  • defining the data science PoCs, roadmaps, pipelines, productization steps, data strategies,
  • creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence the improvement of the business performance by enabling informed decision making,
  • building and leading a collaborative ML/DS team,
  • developing strategy and methods to ensure data collection, data quality, data annotation,
  • presenting results of Data Science processes and dealing directly with C-level stakeholders.

Visiting Researcher

Slovenska tiskovna agencija (STA)

Jul 2018 – Sep 2018 Ljubljana

Machine Learning Engineer (Contract)


Jun 2017 – Present Poznań / Remote

Spoken Communications has been acquired by AVAYA.

Design and implementation of AI-enabled solutions responsible for a reduction of transaction times, improvement of agent’s productivity, and an increase in customer satisfaction. Implementation of state-of-the-art models for spoken language understanding.


Machine Learning Engineer (Contract)

Spoken Communication

Jun 2017 – Jan 2018 Poznań / Remote
Design and implementation of AI-enabled solutions responsible for a reduction of transaction times, improvement of agent’s productivity, and an increase in customer satisfaction. Implementation of state-of-the-art models for spoken language understanding.

Visiting Researcher

Nanyang Technological University

Jun 2017 – Aug 2017 Singapore

Co-founder & CEO

8th lab sp. z o.o.

Sep 2016 – Aug 2018 Wrocław
8lab created predictive analytics engine that enabled retails shops and petrol stations to increase sales using hyper-personalized offers and targeted advertisements.

Visiting Researcher

Jozef Stefan Institute

Jun 2016 – Jul 2016 Ljublana

Visiting Researcher

Universidad Carlos III de Madrid

Apr 2015 – May 2015 Madrid

Natural Language Processing Engineer

MeaningCloud (Internship)

Mar 2015 – May 2015 Madrid

Research Assistant / Data Scientist

Wrocław University of Science and Technology

Aug 2013 – Sep 2019 Wrocław

Design and implementation of state-of-the-art models for machine learning problems mainly but not only in NLP/NLU area.

I am mostly working in Python if it is also needed in Spark.

I consulted several ML-related projects and technologies via Wrocław University of Science and Technology for startups, banks, venture capitalists, manufacture companies and many more.


Natural Language Processing Engineer


May 2013 – Jun 2013 Wrocław


AI/Data Science Consultancy

I provide the consultancy and due diligence of AI solutions for various companies in the financial sector, automotive, social media, as well as for government institutions (UOKiK) and legal firms.
AI/Data Science Consultancy

Construction Project Health

FONN’S Data-Centric journey to create Artificial Intelligence for Construction Project Health
Construction Project Health

IoT Signal Analysis for Agricultural Machinery

Data gathering and signal analysis of milling machines
IoT Signal Analysis for Agricultural Machinery

Sales leads recommendation engine

The recommendation engine for sales leads - it recommends across almost all companies globally (approx 10M companies).
Sales leads recommendation engine

Vehicle information analysis

Exploration and analysis of vehicle data to improve creation process of Periodic Technical Inspections.
Vehicle information analysis

Avaya Conversational Intelligence

The Call Center Analytics
Avaya Conversational Intelligence

Work Package Coordinator in RENOIR project

RENOIR project - Reverse-engineering of social network information dynamics.
Work Package Coordinator in RENOIR project

Recent Publications

Quickly discover relevant content by filtering publications.
(2020). Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections. ACL 2020, WiNLP, Proceedings of the The Fourth Widening Natural Language Processing Workshop.


(2020). Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?. Interspeech 2020, 21st Annual Conference of the International Speech Communication Association, Virtual Event, Shanghai, China, 25-29 October 2020.


(2020). WER we are and WER we think we are. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, EMNLP 2020, Online Event, 16-20 November 2020.


(2019). Aspect Detection using Word and Char Embeddings with (Bi) LSTM and CRF. 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2019, Sardinia, Italy, June 3-5, 2019.


(2018). Extracting Aspects Hierarchies Using Rhetorical Structure Theory. Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence.


(2017). Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis. Intelligent Information and Database Systems - 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017, Proceedings, Part I.


(2015). Sentiment Analysis for Polish Using Transfer Learning Approach. Proceedings - 2nd European Network Intelligence Conference, ENIC 2015.


(2014). An approach to sentiment analysis of movie reviews: Lexicon based vs. classification. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).


(2014). Belief propagation method for word sentiment in wordnet 3.0. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).