An algorithm and AI researcher focusing on Numerical Calculation, Data analysis, NLP, and Computer Vision.
With nine years of experience in software development and five in production-ready algorithms and R&D team management. In addition, these days, Teddy finishes his Ph.D. In applied mathematics focusing on the partial differential equation of biological systems – especially cancer treatment. Teddy also researches machine learning for depression analysis, medical nanorobotics and human-machine interaction in information systems. Teddy had five startup companies so far, few of them have been acquired where he acquired the art of converting technology to a profitable business and controlling very dynamic development processes – both in the algorithmic aspect and in general.
Services:
1. Data Analysis. We are able to get data in any format (JSON, CSV, DB, hand-written texts) and a question and find interesting things in the data for the business. For B2B2C e-commerce and offline re-sellers, we develop a technology allowing us to take advantage of both sales-in (for B) and then sale-through (for C) and use them both to provide a very accurate [depending on the data] of sales in the near future. In addition, we are able to find clusters and relationships between actions phenomena happened in the business in a manner of days to provide almost real-time insights.
2. AI solutions + Machine Learning. Our main focus of interest is natural text analysis (known as NLP) and financial predictions, and chatbots. We are using state of the art technology with the cooperation of the Moscow Tech University and Bar Ilan University to provide the newest tech in the field right next to the giants to ensure the best results for our clients. We have two doctors in our team (Math and Physics) to tackle innovative AI tasks.
3. Mathematical modeling. Modeling and developing numerical analysis, graph theory, and PDEODE. We have three applied mathematics with more than 25 years of experience in the field explicitly solving our clients’ mathematical problems.
4. Big Data and Cloud computing optimization. We are designing from scratch or improving the architecture of cloud-based services, keeping in mind both the performance and the price. Managing big data services efficiently, resulting in a reduction in costs both in the cloud and in man-hours. With two years of academic research on cloud cost optimization, we have a unique ability to tackle both large and small scale cloud services.