Ivan Vasilev

I wrote the thoroughly revised 3rd edition of the book "Python Deep Learning," published by Packt. The book covers the theoretical underpinnings of neural networks and the most significant network architectures, including convolutional, recurrent networks, transformers, and large language models (LLM). The book discusses problems in computer vision and natural language processing.

Wrote the book "Advanced Deep Learning with Python," published by Packt. The book covers the mathematical theory behind neural networks and all major network architectures, including convolutional and recurrent networks, transformers, and self-driving vehicles.

Wrote the thoroughly revised 2nd edition of the book "Python Deep Learning," published by Packt. The book covers the theoretical underpinnings of neural networks and the most significant network architectures, including convolutional and recurrent networks and reinforcement learning. The book discussed problems in computer vision and natural language processing.

I'm the author of an event-based Python algorithmic trading library focusing on machine learning. Some of the features are:

• Real-time and historical bar and tick data from IQFeed
• API integration with Quandl and INTRINIO
• Storing and retrieving historical data and other datasets with PostgreSQL and InfluxDB
• Backtesting historical data using different datasets
• Placing orders via the Interactive Brokers Python API

I have successfully transformed this open-source project into a startup (Tradestorm.io).

While working at ExB, my team and I participated in and won a medical image segmentation contest, "Skin Lesion Analysis towards Melanoma Detection challenge," at ISBI 2016. Our solution was based on a combination of convolutional networks implemented in Keras.

While working at ExB, my team and I participated and won second place in a medical image segmentation contest, "Gland Segmentation Challenge Contest" at MICCAI 2015. Our solution was based on a combination of convolutional networks, implemented in Keras.

I wrote the first Java deep learning library with OpenCL support. The library included the most popular neural network architectures, including convolutional and recurrent networks. The library was acquired by ExB, where I continued its development in-house.

A SaaS platform that allows automotive parts companies to create webshops and participate in a common marketplace, located at Zakolite.bg. The system is integrated with the most widely adopted and comprehensive auto parts database.

Interdisciplinary research project (Bulgarian Academy of Sciences) aimed at advancing the two fastest evolving information technologies—service-oriented computing and technology-enhanced learning by applying the semantic web service methodology.