DeepLab
Stavros Theodorakis has a diverse work experience that spans across different industries and positions. Stavros is the Founder and CEO of DeepLab, a company that specializes in developing custom machine learning solutions for enterprises. Stavros has been working in this role since September 2015.
Before starting DeepLab, Stavros worked as a Data Scientist and Machine Learning Expert as a self-employed individual from September 2014 to January 2017. During this time, they focused on areas such as machine learning, computer vision, big data, statistical modeling, signal processing, and deep learning.
Stavros also gained experience as a Speech Recognition Expert at Beenotes from January 2016 to August 2016. Prior to that, they worked as a Machine Learning Expert at Oseven Telematics from July 2015 to December 2015. Stavros also worked as an IT Network Administrator at SPHY from January 2015 to October 2015.
Stavros started their career as a Research Assistant at the National Technical University of Athens in October 2008, where they worked until June 2014. Stavros also worked as a Graduate Teaching Assistant at the university from September 2008 to May 2014.
Overall, Stavros Theodorakis has a strong background in machine learning, data science, and computer vision, with extensive experience in leadership and entrepreneurial roles.
Stavros Theodorakis pursued their higher education at the National Technical University of Athens. From 2008 to 2014, they obtained a Doctor of Philosophy (Ph.D.) degree specializing in Sign Language and Multimodal Gesture Recognition. Before that, they completed their Bachelor's Degree in Signals, Systems, and Robotics from the same university between 2002 and 2008. As for their secondary education, Stavros attended Pagritio School and earned their High School diploma from 2000 to 2002.
This person is not in any teams
This person is not in any offices
DeepLab
DeepLab is a pioneering technological company. It design and develop production grade scalable ML infrastructure and algorithmic solutions employing state-of-the-art Machine Learning. We work with large scale products that serve billions of users producing big data (e.g. >1B requests per day). We design and develop scalable cutting-edge MLalgorithms and infrastructure pipelines for fast and easy ML research and experimentation, model tracking, orchestration, computing resources allocation, CI/CD workflows, model deployment and performance monitoring. In our algorithmic backbone we employ deep learning together with our wide experience towards bringing clear competitive advantage to your product. We build innovative AI powered solutions in areas such as recommender systems, early stages in drug development e.g. in-silico virtual screening, single-cell multiomics data integration, cyber security, fraud detection and prevention, pricing optimization, automotive driver behavior modeling and stock market price modeling and forecasting.Our vision is to bring to the public custom hi-tech intelligent solutions which deal with real practical problems across interdisciplinary domains and application areas. Our services are coupled with the knowledge of experts and the dreams of enthusiasts across any area that can benefit by machine learning and high-tech sensors and interfaces. To name but a few, such areas could span a great deal of cases such as: daily life, education, business, art, entertainment, healthcare and assistive living. In these, deeplab can offer customized solutions adapted to the specific needs providing new perspectives.