Software engineer · Full-stack, ML, Android · B.A.Sc. AI @ THD
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chexvision-mini
June 13, 2026 – Present
From-scratch NumPy neural network - companion to CheXVision (Deep Learning and Big Data course)
View Projectkaffeelisten
May 8, 2026 – Present
Digital coffee and snack consumption logger for ITC1 Deggendorf campus
View Projectchexvision
April 16, 2026 – Present
CheXVision: dual-task chest X-ray pathology detection with PyTorch. Slides: arudaev.github.io/chexvision
View ProjectTHD-Room-Finder
February 9, 2026 – Present
Native Android app showing free study rooms at THD in real time
View ProjectiTravel
February 4, 2026 – Present
Android travel companion with map discovery, GPS-validated reviews, and live weather feeds
View ProjectProject-Arepo
October 8, 2024 – Present
ML-driven stroke risk estimation with analytics dashboards and a Rasa chatbot
View ProjectDocument-Conversion-Solutions
August 1, 2023 – Present
Document Conversion Solutions 📄🔄 - A comprehensive suite of tools for document conversion, including Python APIs, JavaScript solutions, and an npm package. Dedicated to simplifying the export of DOCX, PPTX, and XLSX documents.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven learning and development, particularly in the ML/Data Science domain. The diversity of projects, from mobile apps to document conversion tools, indicates a broad technical curiosity. However, without information on team contributions or professional experience, assessing cultural fit beyond individual initiative is challenging. The projects align well with a Data Scientist role, demonstrating relevant technical interests.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.