DevTeam.Space Developer Profile, Daniel
DevTeam.Space Developer Profile, Daniel ML and Data Science Developer
Daniel is a data scientist with 6 years of experience in machine learning.
Skills and Qualifications
Featured DevTeam.Space Projects
Machine Learning
Ecommerce
A natural language processing engine to classify ebooks by genre and customize social ads.
Details
Computer Vision
Security
A set of computer vision tools to accurately identify people in the video stream and analyze their movements and emotions.
DetailsSome of Daniel’s Projects
Dozor
This was a project for a carsharing hiring. The project involved creating a system that allowed it to detect and recognize all the faces in the car as well as to detect whether any persons are smoking. The system was required to work offline which was an added challenge. Daniel created a facial recognition solution that could then be embedded into the car’s computer device. He also implemented a cigarette detection solution and a microhiring for preparing face vectors to allow for comparison on a device.
This was a project for a carsharing hiring. The project involved creating a system that allowed it to detect and recognize all the faces in the car as well as to detect whether any persons are smoking. The system was required to work offline which was an added challenge. Daniel created a facial...
Read moreRecognition of goods on the shelves
A solution was needed for merchandisers who compare the real arrangement of goods (realograms) with a plan (planogram). OCR and one-shot learning were used to search the product database using triplet loss network training. The generation of images in Blender was required, as was the development of tools marking real goods. Daniel experimented with various detection and classification approaches, taught OCR models, developed image generation using Blender, and ported and optimized models for Android devices.
A solution was needed for merchandisers who compare the real arrangement of goods (realograms) with a plan (planogram). OCR and one-shot learning were used to search the product database using triplet loss network training. The generation of images in Blender was required, as was the development of...
Read moreHitfactor
A project that was required to find athletic starting signals or shots on a soundtrack. Daniel helped develop an architecture using convolutional and recurrent neural networks. He was also required to allow the system to be able to separate shots coming from other directions, which are not important.
A project that was required to find athletic starting signals or shots on a soundtrack. Daniel helped develop an architecture using convolutional and recurrent neural networks. He was also required to allow the system to be able to separate shots coming from other directions, which are not...
Read more