Klemen Simonic

CEO

San Mateo, California, United States10 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

CEO of Soniox, leading AI-driven audio understanding.
Extensive experience in AI and Natural Language Processing.
Proven track record in research and engineering roles.

Stackforce AI infers this person is a leader in AI and Natural Language Processing with a strong research background.

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Skills

Core Skills

Artificial IntelligenceMachine LearningNatural Language ProcessingData Mining

Other Skills

Speech RecognitionComputer ScienceResearchAlgorithmsProgrammingMatlabLaTeXJavaPythonText MiningPattern RecognitionInformation ExtractionInformation Retrieval

About

Soniox: Understand people through audio.

Experience

10 yrs 6 mos

Total Experience

5 yrs 3 mos

Average Tenure

6 yrs

Current Experience

Soniox

Chief Executive Officer

Apr 2020 – Present · 6 yrs · Foster City, California, United States

Soniox's mission is to understand people through audio.

Artificial IntelligenceMachine LearningNatural Language ProcessingSpeech RecognitionComputer ScienceResearch+3

Facebook

Engineering & Research

Sep 2015 – Mar 2020 · 4 yrs 6 mos · Menlo Park

Research and Engineering on AI: natural language understanding and automatic speech recognition.

Artificial IntelligenceNatural Language ProcessingSpeech Recognition

Google

Research Internship

May 2014 – Aug 2014 · 3 mos · Mountain View

Developed models for search query understanding: learning segmentation and disambiguation of phrases in queries. The model improved the understanding of intents and products in the Google Shopping search queries.
http://www.klemensimonic.com/project/google-internship-2014/

Natural Language ProcessingMachine Learning

Stanford university

2 roles

Research Internship at Stanford

Jul 2011 – Sep 2011 · 2 mos · Stanford University

Worked on discovery of network motifs (statistically significant sub-graphs), and used the network motifs with SVM to predict the missing links in information networks.
http://www.klemensimonic.com/project/stanford-internship-2011/

ResearchData Mining

Research Internship at Stanford

Jul 2010 – Sep 2010 · 2 mos · Stanford University

Investigated and developed methods for community detection in large social networks based on Clique Percolation Method.
http://www.klemensimonic.com/project/stanford-internship-2010/

ResearchData Mining