Eva P
@evap
Software engineer specializing in computer vision and applied machine learning for real-world systems.
What I'm looking for
I am a software engineer with a growing specialization in computer vision and applied machine learning, grounded in production engineering and practical problem-solving. I have delivered engineering work within collaborative, interdisciplinary teams, applying automation scripting, testing methodologies, and traceability practices in regulated environments.
My academic research focused on visual place recognition using HOG, CosPlace, and KNN, and I contribute to community-oriented creative projects involving engraving and ceramics. I seek roles that combine engineering rigor with data-driven design and visual-recognition challenges that have social or creative impact.
Experience
Work history, roles, and key accomplishments
Founding Member
Heterotopians
Sep 2023 - Present (2 years 1 month)
Organized and supported exhibitions, workshops, and community events focused on engraving and ceramics, coordinating logistics, programming, and hands-on creation to engage local audiences.
Software Engineer
RapidProto
Jan 2024 - Jun 2025 (1 year 5 months)
Developed and validated automotive software components using TPT unit testing and DaVinci interfaces, and maintained Polarion traceability to align with Automotive SPICE and V-Model processes; automated repetitive tasks with Python scripting to increase efficiency.
Production Engineer Trainee
Business & Engineering Solutions
Jun 2015 - Aug 2023 (8 years 2 months)
Supported factory operations by producing mechanical equipment layouts in AutoCAD, assisting safety inspections and training seminars, and managing office documentation and regulatory filing to improve operational compliance.
Education
Degrees, certifications, and relevant coursework
Democritus University of Thrace
Bachelor of Engineering, Production Engineering and Management
2016 - 2025
Studied Production Engineering and Management with a thesis on robotics and computer vision comparing feature extraction and image retrieval methods for visual place recognition.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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