Filip Povolny
Frontend Developer at Studyly- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Full professional proficiency
-
German Limited working proficiency
-
Finnish Elementary proficiency
-
Slovak Native or bilingual proficiency
-
Czech Native or bilingual proficiency
Topline Score
Bio
Michal Král
I worked with Filip for two years when he at first build a speech emotion recognition system and then help Phonexia release first deep embedings system for speaker recognition in the world. I was consistently impressed with Filip's attitude and productivity during the time that he has worked in the team. He is a quick learner and has shown the ability to digest large volumes of information, always looking for ways how to improve his Python and machine learning skills and maintain great atmosphere in the team. Overall, Filip is a talented, hard-working employee with a very positive approach.
Michal Král
I worked with Filip for two years when he at first build a speech emotion recognition system and then help Phonexia release first deep embedings system for speaker recognition in the world. I was consistently impressed with Filip's attitude and productivity during the time that he has worked in the team. He is a quick learner and has shown the ability to digest large volumes of information, always looking for ways how to improve his Python and machine learning skills and maintain great atmosphere in the team. Overall, Filip is a talented, hard-working employee with a very positive approach.
Michal Král
I worked with Filip for two years when he at first build a speech emotion recognition system and then help Phonexia release first deep embedings system for speaker recognition in the world. I was consistently impressed with Filip's attitude and productivity during the time that he has worked in the team. He is a quick learner and has shown the ability to digest large volumes of information, always looking for ways how to improve his Python and machine learning skills and maintain great atmosphere in the team. Overall, Filip is a talented, hard-working employee with a very positive approach.
Michal Král
I worked with Filip for two years when he at first build a speech emotion recognition system and then help Phonexia release first deep embedings system for speaker recognition in the world. I was consistently impressed with Filip's attitude and productivity during the time that he has worked in the team. He is a quick learner and has shown the ability to digest large volumes of information, always looking for ways how to improve his Python and machine learning skills and maintain great atmosphere in the team. Overall, Filip is a talented, hard-working employee with a very positive approach.
Credentials
-
First Certificate in English
University of CambridgeJan, 2013- Sep, 2024 -
MCPS: Microsoft Certified Professional
MicrosoftApr, 2012- Sep, 2024 -
MCTS: Windows Server 2008 Network Infrastructure, Configuration
MicrosoftJun, 2011- Sep, 2024 -
MCTS: Windows 7, Configuration
MicrosoftJan, 2011- Sep, 2024
Experience
-
Studyly
-
Austria
-
E-learning
-
1 - 100 Employee
-
Frontend Developer
-
Mar 2023 - Present
-
-
-
ONDEWO
-
Austria
-
Telephone Call Centers
-
1 - 100 Employee
-
Data Scientist
-
Oct 2018 - Jun 2021
* benchmarked entity and intent detection performance against competitive NLU platforms on 6 public and internal datasets * integrated various state of the art NLP models (e.g. BERT) into on-premise conversational platform for entity and intent detection * participated in development of python-based NLU backend: designed APIs in gRPC framework, integrated PostgreSQL database and distributed training * developed python-based server to handle calls with voicebot in realtime * benchmarked entity and intent detection performance against competitive NLU platforms on 6 public and internal datasets * integrated various state of the art NLP models (e.g. BERT) into on-premise conversational platform for entity and intent detection * participated in development of python-based NLU backend: designed APIs in gRPC framework, integrated PostgreSQL database and distributed training * developed python-based server to handle calls with voicebot in realtime
-
-
-
Phonexia
-
Czechia
-
Software Development
-
1 - 100 Employee
-
Software Developer
-
Jul 2015 - Jun 2018
* participated in research and development of DNN-based speaker identification technology * trained word2vec/LSTM-DNN-based sentiment recognition system for 5 languages * developed system for acoustic emotion recognition from speech * developed multimodal emotion recognition system for AVEC challenge 2015, 2016 * participated in research and development of DNN-based speaker identification technology * trained word2vec/LSTM-DNN-based sentiment recognition system for 5 languages * developed system for acoustic emotion recognition from speech * developed multimodal emotion recognition system for AVEC challenge 2015, 2016
-
-
Education
-
2012 - 2015
Brno University of Technology
Master's degree, Computer Graphics and Multimedia -
2013 - 2014
University of Eastern Finland
Computer Science -
2009 - 2012
Brno University of Technology
Bachelor's degree, Information Technology -
2001 - 2009
Gymnázium Hradná Liptovský Hrádok
Information Technology
Community
