Dimitri Dojchinovski Email and Phone Number

Responsibilities:-Development and enhancement of a modern cloud native Management Information System for Schools-Collaborated with cross-functional teams to implement innovative solutions, resulting in increased system performance and user satisfaction.-Actively involved in designing and implementing robust security measures, ensuring data integrity and confidentiality.-Collaborated on the seamless integration of Azure services, contributing to enhanced system reliability.Technologies used:C#, .NET Core, React, Dapper, SQL Server, Azure

Responsibilities:- Design and implement web solutions in the field of Industrial Internet of Things from initial concept, project architecture, and user interface to finished deliverable in a timely and high-quality manner- Regularly review and optimize application and database performance- Sharing knowledge and expertise among the team, using the guidelines of the Team Lead- Close collaboration with the client in regard to identifying solutions to client needs- Mentoring internsTechnologies used:C#, .NET Core, TypeScript, Angular, JavaScript, Azure, SQL, NoSQL, DevOps

Responsibilities:- Researching in the field of Healthcare, Developing Machine Learning and Deep Learning models, various Neural Network concepts, and classification algorithms. Apply troubleshooting and problem-solving skills to complex issues.- Write high-quality, production-ready Python code (version controlled, readable, efficient, well-tested, with well-designed APIs).- Perform extensive deep dive error profiling to measure, characterize, and find the root cause of errors, communicate the findings to other team members effectively and find innovative solutions to eliminate errors- Coordinate activities within the Machine Learning team to maintain transparency, high efficiency, and accountability.- Develop topic descriptions for creative and innovative approaches to solving challenges- Carry out methodical and systematic experiments to test hypotheses with carefully chosen controls and hold regular technical data review meetings to discuss results and provide insight to cross functional teamsTechnologies used:Python, Sci-kit learn, Keras, Tensorflow, pandas, Flask

-Internet of Things-Alexa Voice application-Flask Web Application development and Rest API

-React