Notable Projects:- AiTLAS: toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready Earth Observation (EO) datasets. It can be easily applied for a variety of Earth Observation tasks, such as land use and cover classification, crop type prediction, localization of specific objects (semantic segmentation), etc. More:… Show more Notable Projects:- AiTLAS: toolbox (Artificial Intelligence Toolbox for Earth Observation) includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready Earth Observation (EO) datasets. It can be easily applied for a variety of Earth Observation tasks, such as land use and cover classification, crop type prediction, localization of specific objects (semantic segmentation), etc. More: https://github.com/biasvariancelabs/aitlas Show less

Gave lectures on the courses Basics of Web Design, Introduction to Computer Science, Internet (Front-end) Programming, Interactive Applications etc. Mentored students on theses, projects and exercises.Participated in research and industry projects related to information retrieval, computer vision, multimedia and general software engineering. Published obtained results. Organized and participated in conferences. Notable Projects:- Biometric authentication system: Created a… Show more Gave lectures on the courses Basics of Web Design, Introduction to Computer Science, Internet (Front-end) Programming, Interactive Applications etc. Mentored students on theses, projects and exercises.Participated in research and industry projects related to information retrieval, computer vision, multimedia and general software engineering. Published obtained results. Organized and participated in conferences. Notable Projects:- Biometric authentication system: Created a system for multimodal biometric authentification. The system was able to identify individuals based on all/any of the following: facial features, fingerprints, retinal scan and/or vocal features. - Automated traffic monitoring system: Created a system for automatic average speed detection of vehicles. The system used a set of cameras, which could be deployed on roads. The cameras where used to automatically detect and identify the vehicles and the licence plates, and, by using the cameras' GPS sensor, to also, detect the location. The vehicle could be tracked across cameras, by which the average speed was also calculated (and automatically verified against the allowed speed). The system could also automatically blur the windshield (for privacy reasons). Show less

Taught the courses Internet Programming (JavaScript, Java), Basics of Web Design, Human Computer Interaction, Interactive applications, Introduction to Computer Science, Object-Oriented Programming (Java, C++), Structured Programming (C) etc.Participated in research projects related to generic information retrieval, computer vision, image classification and retrieval. Published obtained results. Organized and participated in conferences. Mentored students on projects and exercises.

Developed a model for social media analysis in the context of forest fires. More precisely, a multilingual model for forest fires related content in Twitter data. Integrated the model in a larger system for crisis management (SMDRM). Tech stack: Python, PyTorch, Docker.

Lead the development of open source search tools as ElasticSearch plugins and libraries, which can rank with post-processing (FA*IR) and in-processing (DELTR) with fairness constraints:- Created search tools based on the FA*IR Search framework that use machine learning to provide a fair search result with relevant protected and non protected classes: - https://github.com/fair-search/fairsearch-fair-for-elasticsearch -… Show more Lead the development of open source search tools as ElasticSearch plugins and libraries, which can rank with post-processing (FA*IR) and in-processing (DELTR) with fairness constraints:- Created search tools based on the FA*IR Search framework that use machine learning to provide a fair search result with relevant protected and non protected classes: - https://github.com/fair-search/fairsearch-fair-for-elasticsearch - https://github.com/fair-search/fairsearch-fair-java - https://github.com/fair-search/fairsearch-fair-python- Created search tools based on the Disparate Exposure in Learning To Rank framework with relevant protected and non protected classes - https://github.com/fair-search/fairsearch-deltr-java - https://github.com/fair-search/fairsearch-deltr-python - https://github.com/fair-search/fairsearch-deltr-for-elasticsearch Technologies used: Java, Python, ElasticSearch Show less

My duties include: Leading the Macedonia team to design, develop and maintain several projects which are part of the IA system such as the recommendation and search engine APIs, the (ETL) data synchronization tool, user traffic reporting system and internal monitoring systems. Hands-on on all levels of the system.Directly communicating with clients to understand their needs and provide proper integration on the front-end and back-end.Coordinating/managing with the other… Show more My duties include: Leading the Macedonia team to design, develop and maintain several projects which are part of the IA system such as the recommendation and search engine APIs, the (ETL) data synchronization tool, user traffic reporting system and internal monitoring systems. Hands-on on all levels of the system.Directly communicating with clients to understand their needs and provide proper integration on the front-end and back-end.Coordinating/managing with the other teams spread across multiple time-zones. Show less

Worked on and created several aspects of the Infinite Analytics systems, with team members and clients spread across multiple time-zones:- Created APIs to serve recommendations. - Created APIs and data processing pipelines to handle Facebook, Twitter users' data upon sign-in.- Developed NLP models for data enrichment of user data using Linked Data knowledge sources - Created internal testing and monitoring tools for how the system is performing.Technologies used: Java… Show more Worked on and created several aspects of the Infinite Analytics systems, with team members and clients spread across multiple time-zones:- Created APIs to serve recommendations. - Created APIs and data processing pipelines to handle Facebook, Twitter users' data upon sign-in.- Developed NLP models for data enrichment of user data using Linked Data knowledge sources - Created internal testing and monitoring tools for how the system is performing.Technologies used: Java, MySQL, RabbitMQ, Python, JavaScript, Virtuoso, Linux Show less

Founder of a data science and engineering consulting company where I cover the business development and technical aspects. Lead my team to technically tackle various software and data science projects.

Created and maintained a cross-exchange banner network for websites. Websites get promoted by helping other web sites. The system was used by more than 200 websites. There I focused mostly on:- Creating APIs to serve the ads.- Creating a client-facing web application for customers to add, configure and monitor their ads.- Directly communicating with clients to address their needs and provide help for integration where necessary.Technologies used: JavaScript, MSSQL, ASP.NET

Worked on multiple projects as a consultant:- Keyword clustering application for marketing purposes. The application groups keywordsbased on similarity, which people in marketing use to target their ads. - Campaign generation tool used by people in online marketing to auto-generate ads based on entered keywords.- Modules for a smart house system, which syncs with various devices in the house/plant and visualizes that information.

Taught the courses Internet programming (Java and JavaScript), Visualization, Human Computer Interaction, Virtual Reality, Object-Oriented Programming (C++), Structured Programming (C) etcParticipated in research projects related to computer vision and image retrieval. Published obtained results. Participated in conferences. Mentored students on projects and exercises.

Conducted laboratory exercises with students. Created and graded exercises. Helped and guided the students during their lab work.

Worked on a mobile network traffic reporting and visualization system. The system generated reports for various parts and aspects of the network.