DevTeam.Space Developer Profile, Tony
DevTeam.Space Developer Profile, Tony ML and Data Science Developer
Tony is an expert data scientist with a decade of experience in software development and has led teams on various innovative projects.
Featured DevTeam.Space Projects
Machine Learning
Ecommerce
A natural language processing engine to classify ebooks by genre and customize social ads.
DetailsSome of Tony’s Projects
Dozor
For the Dozor Project with a car-sharing company, Tony developed an Android app featuring facial recognition to verify authorized drivers and a novel smoking detection capability, designed from scratch. This required extensive research, data collection, and experimentation with neural networks, resulting in an accurate, offline-capable system for embedded car systems.
For the Dozor Project with a car-sharing company, Tony developed an Android app featuring facial recognition to verify authorized drivers and a novel smoking detection capability, designed from scratch. This required extensive research, data collection, and experimentation with neural networks,...
Read moreBusFactor
In the BusFactor project, Tony focused on monitoring public transport drivers for mobile phone use while driving, ensuring correct camera alignment and continuous operation within the driver's cabin. He successfully managed the deployment of these models onto the client's systems.
Read moreRecognition of goods on the shelves
For a merchandising solution, Tony worked on recognizing goods on shelves, comparing actual product arrangements with planned layouts. This involved OCR, one-shot learning, image generation in Blender, and the development of marking tools for real products. He explored various detection and classification methods, optimized models for Android devices, and experimented with OCR and one-shot learning techniques.
For a merchandising solution, Tony worked on recognizing goods on shelves, comparing actual product arrangements with planned layouts. This involved OCR, one-shot learning, image generation in Blender, and the development of marking tools for real products. He explored various detection and...
Read moreHitfactor
In the Hitfactor project, he contributed to developing a system to detect athletic starting signals or shots in soundtracks using convolutional and recurrent neural networks. Tony improved the system's accuracy in identifying relevant sounds by employing clustering algorithms, distinguishing important shots from background noise.
In the Hitfactor project, he contributed to developing a system to detect athletic starting signals or shots in soundtracks using convolutional and recurrent neural networks. Tony improved the system's accuracy in identifying relevant sounds by employing clustering algorithms, distinguishing...
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