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Chief of Data Science at DeepSensei
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Information Technology
January 1, 2013 – January 1, 2017
UCLA
Bachelor of Science (B.Sc.), Computer Science
January 1, 2004 – January 1, 2008
DeepSensei
Chief of Data Science
January 1, 2019 – Present
San Francisco, California, United States
FuturaVis Foundation
Senior Data Scientist
February 1, 2017 – January 1, 2019
FuturaVis Foundation
Senior Software Engineer (Machine Learning)
August 1, 2013 – January 1, 2019
Snakecharm Ltd
Software Engineer
August 1, 2005 – Present
dGnosis
October 1, 2013 – Present
Healthcare and Medical Diagnosis system with diagnosis assistant based on prescriptive analytics and automated machine learning. Naturally it features clinical database, laboratory testing, biobank functions, healthcare and research workflow and process management, statistics, data science tools and integration with health monitoring equipment. Basically this integrates healthcare with medical research and gives tools for better planning, better treatment and better research.
SonicHound
October 1, 2013 – Present
SonicHound works on principles of audio analysis (frequency spectrum patterns). It may additionally use tagging as a basis of classification, but that is not a requirement. Every song is analysed in audio realm, while patterns and indicators are extracted. This includes things like beat, spectrum, loudness and several other variables which constitute the feeling and colour of music. We try to emulate music listening experience in such manner, that classifier could predict users response to any unknown song based on previously learned samples. By finding those customers who have a high probability to like that song, ensures lots of high gradings immediately after release. People are inclined to like or pick something because many people recommend it. That in turn ensures the interest of less probable liker. who may or may not like that song. Regardless, snowball effect is already generating momentum. Machine learning input is based on interpreting normal user choices and actions either as "like" or "dislike"
Pawns
October 1, 2013 – Present
Pawns is a computer simulation environment for information flows in social networks between AI subjects with various agendas and motivations. Heimdallr is an analysis and intelligence gathering tool for various scenarios to observe, investigate, extract, interfere with or contain different types of information and subjects circulating in Pawns environment.
Cultural Fit Analysis
The candidate's project portfolio (healthcare, music analysis, social network simulation) demonstrates a diverse range of interests and an ability to apply advanced technical skills across different domains. This breadth suggests adaptability and a curious mindset, which can be a strong cultural fit for innovative environments. The long tenure at FuturaVis Foundation and Snakecharm Ltd indicates loyalty and stability. The target role of 'Backend Engineer' aligns with the foundational software engineering experience, but the recent focus on data science and AI might require assessing their current backend development proficiency.
Soft Skills & Operational Fit
The candidate's project descriptions suggest strong analytical and problem-solving skills, particularly in complex, data-intensive domains. The leadership role as 'Chief of Data Science' indicates potential for strategic thinking and team guidance. However, without specific psychometric test results or interview data, it's difficult to assess stress handling, team collaboration, or work attitude directly. The project descriptions are detailed, implying good written communication for technical concepts.