Dr. Bernd Hollerit
Chief Technology Officer
Professional Experience
Dr. Hollerit has 10 years of professional experience in the tech industry.
Tokyo Token logo
CTO at Tokyo Token
Dr. Hollerit is currently a full-time employee at Tokyo Token, where he performs the role of Chief Technology Officer. His tasks include:
Leading technical strategies, roadmap, ecosystem development, liquidity enhancement, and white paper composition; expecting ¥3B JPY ($20M USD) investment.
Performing technical analyses of cryptocurrency exchanges
Supervising data analysis of cryptocurrency markets leading to expected 500% ROI.
Sr. Data Scientist at Fast Retailing
Dr. Hollerit worked at Fast Retailing as a Sr. Data Scientist, Head of Natural Language Processing & Image recognition, between January 2022 and May 2023. During this time, he:
Led teams of data scientists, encompassing team building, management, and member training of the data analysis organization, as well as team management.
Led NLP team that decreased inspection rate of reviews from 0.76 to 0.13, increased AUPRC from 0.79 to 0.91.
Led IR teams that improved system from 0.46 to 0.67 F1 score, decreased cost per image from ¥200 to ¥43 JPY per image, saving the company ¥23M JPY per year.
e-Jan Website
Article for e-Jan! WorkStyle BLOG written by Dr. Hollerit
Software Engineering Manager at e-Jan Networks
Dr. Hollerit was employed at e-Jan Networks as a Software Engineering Manager and Research lead between February of 2019 and December 2021. During this time, he:
Led a team to perform the digital transformation of the company with the development of a DevOps CI/CD pipeline using Jenkins, Docker, and AWS. Automated processes to reduce feedback time for developers from 2-3 days to 10 minutes.
Conducted technical research, published white paper on cybersecurity, industry 4.0, and operational technology, targeting CEOs & CTOs. White paper was translated to Japanese. Led to sales increase of 164%.
Attended 3 conferences: Gartner Security & Risk Management Summit 2019, Gartner IT Symposium/XPO 2019, Gartner IT Symposium 2020. Reported to CEO and gave presentation about latest industry trends to whole company.
Research Lead at National Institute of Informatics
Dr. Hollerit was employed at the National Institute of Informatics between 2014 and 2017. During this time, he:
Led the research with 9 members and composed an IEEE paper. Handled the peer review process to get the paper accepted.
B. Hollerit, H. Prendinger et al. (2021). “Virtual Eco-driving: Implementation and Analytics of the Distributed Driving Simulation iCO2”. In: IEEE Access, pp. 1–15.
Performed data science of eco-driving behavior generated from 2455 users of a massively multiplayer online game with a purpose (MMO GWAP) using SQL.
R&D at Know-Center Graz
Developed python programs to pre-process data and conduct natural language processing (NLP). Harvested tens of thousands of tweets, annotated 1335.
Analyzed natural language processing of twitter data with supervised and unsupervised machine learning models.
Carried out machine learning and statistical analysis with data mining software Waikato Environment for Knowledge Analysis (WEKA), k-fold cross-validation, computation of F1 scores. Achieved precision of 57.1% and recall of 77.4%.
Published paper ”Towards Linking Buyers and Sellers: Detecting Commercial Intent on Twitter”. Presented at WWW2013 (Rio de Janeiro, Brazil), cited 90 times.
B. Hollerit, M. Kröll and M. Strohmaier (2013). “Towards Linking Buyers and Sellers: Detecting Commercial Intent on Twitter”. In: Proceedings of the 22nd International Conference on World Wide Web, pp. 629–632.
