Taisia Loseva
@taisialoseva
Computer Science master's student specializing in web intelligence and ML.
What I'm looking for
I am a Master's student in Web Intelligence with hands-on experience building web applications and machine learning projects, including a food-recognition model trained on 40,000 dish images and a multi-user web quiz application.
My background includes an earlier MSc in Antiseismic Design of Structures and an Integrated Master's in Civil Engineering, with practical engineering roles as a Site & QA-QC Engineer and Structural Civil Engineer where I applied Python, MATLAB and OpenSees.
I bring strong technical skills in Python (Pandas, NumPy), JavaScript, SQL, MATLAB, web technologies and version control, and I am seeking opportunities that combine web development, machine learning and applied engineering in collaborative, growth-focused teams.
Experience
Work history, roles, and key accomplishments
Site & QA-QC Engineer
AVAX Group
Feb 2025 - Jul 2025 (5 months)
Led site quality assurance and quality control for SNF Global Health Initiative hospital projects, ensuring compliance with structural and safety standards during construction phases.
Structural Civil Engineer
Dortis & Partners
Nov 2021 - Jan 2025 (3 years 2 months)
Designed and analyzed structural elements for civil projects, preparing calculations and using OpenSees, Python, and MATLAB to support antiseismic design and project delivery.
Education
Degrees, certifications, and relevant coursework
International Hellenic University
Master of Science, Web Intelligence
2025 -
Master of Science (WEB Intelligence) with projects in machine learning for food image recognition and development of a web-based multi-user quiz application.
Aristotle University of Thessaloniki
Master of Science, Antiseismic Design of Structures
2020 - 2023
Master of Science in Antiseismic Design of Structures with a dissertation using OpenSees, Python, and MATLAB.
Aristotle University of Thessaloniki
Integrated Master’s, Civil Engineering
2012 - 2020
Integrated Master's in Civil Engineering from the Structural Department covering structural engineering coursework and practice.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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