Developed a full-scale algorithmic trading platform. The platform is written in Python and deployed on Amazon AWS. It supports both live trading and backtesting.Implemented, deployed, and monitored 10+ automated trading strategies in the live trading environment.Implemented and deployed multiple integrations with external data providers and APIs, including Interactive Brokers, FIX protocol, Binance, IQFeed, Quandl, Alpaca, and others.

I wrote Python Deep Learning, 3rd edition.https://www.amazon.com/dp/B0BRKYYPPC/

I wrote the book Advanced Deep Learning with Python.https://www.amazon.com/dp/B082DHGVT5/

I wrote the thoroughly revised second edition of the book "Python Deep Learning".https://www.amazon.com/dp/B07KQ29CQ3/

https://github.com/ivan-vasilev/atpyI've been working on an open source event-based python algorithmic trading library. The goal of the library is to provide an easy way of testing financial ML algorithms. 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… Show more https://github.com/ivan-vasilev/atpyI've been working on an open source event-based python algorithmic trading library. The goal of the library is to provide an easy way of testing financial ML algorithms. 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.- High-performance implementations of some of the techniques described in the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado. Show less

Machine Learning engineer and researcher with very strong focus on Deep Learning and Computer Vision. I have mostly used Python and some of the popular deep learning frameworks - Tensorflow, Keras and Caffe.

I authored the first open-source Java deep learning library with GPU support (OpenCL) as a way to introduce myself to deep learning and produce something meaningful at the same time.https://github.com/ivan-vasilev/neuralnetworks

As a founder of the company I’ve lead the design, development, deployment, marketing and support of our advanced SaaS web platform for trading automotive parts online, located at http://www.zakolite.bg/ (now offline). It allows companies to create their own web shops and participate in a common parts marketplace. The platform integrated with the most widely adopted and comprehensive auto parts database, as well as some of the leading CRM software providers in Bulgaria. It contains more than… Show more As a founder of the company I’ve lead the design, development, deployment, marketing and support of our advanced SaaS web platform for trading automotive parts online, located at http://www.zakolite.bg/ (now offline). It allows companies to create their own web shops and participate in a common parts marketplace. The platform integrated with the most widely adopted and comprehensive auto parts database, as well as some of the leading CRM software providers in Bulgaria. It contains more than 100k lines of code and is implemented using Java, Hibernate, Apache Wicket and MySQL. Show less

As a mobile web developer, I created mobile website version of the social network Fanattac using Ember.js, PHP, and REST.

As part of my Master's thesis I participated in a semantic web scientific project: Semantic Technologies for Web Services and Technology Enhanced Learning, or SINUS. My job was to develop a SPARQL Graphical Designer and Semantic Annotator for the project using SPARQL, RDF, RDFS, OWL, Java, OWL API, Apache Wicket, Dojo Toolkit, HTML, CSS, and Apache Tomcat.

As a software engineer I worked on:* Legacy code maintenance service-based Visual Studio extension using C#, WCF, WPF, IIS server, and Windows Services.* An online survey platform using Google Web Toolkit, Hibernate, Apache Tomcat, and Maven.* Web application for legacy code management using C++, Java, JSP, Struts, Pentaho Business Intelligence Suit, GWT, Ext GWT, Apache Tomcat, Hibernate, Castor, Fusion Charts, HTML, CSS, JavaScript and Oracle.

As a junior software engineer I worked on an electrical module for the PLM product CATIA V5 using C++ and CATIA (Computer Aided Three dimensional interactive application).

As an intern I developed websites using the LAMP (Linux, Apache, PHP, MySQL) architecture.