Alexander Rudaev

Data Scientist

https://talent.gravityer.com/alexander-rudaev

Software engineer · Full-stack, ML, Android · B.A.Sc. AI @ THD

Deggendorf, Bavaria, Germany

Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Project-Arepo' (ML-driven stroke risk estimation) and 'chexvision' (dual-task chest X-ray pathology detection).
Experience with Python, a core language for Data Science, across multiple projects.
Familiarity with deep learning frameworks (PyTorch) and concepts (from-scratch NumPy neural network in 'chexvision-mini').
Exposure to MLOps-related technologies like Dockerfile in several projects.

Cultural & Operational Fit

Cultural 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.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

chexvision-mini

June 13, 2026 – Present

From-scratch NumPy neural network - companion to CheXVision (Deep Learning and Big Data course)

View Project

kaffeelisten

May 8, 2026 – Present

Digital coffee and snack consumption logger for ITC1 Deggendorf campus

View Project

chexvision

April 16, 2026 – Present

CheXVision: dual-task chest X-ray pathology detection with PyTorch. Slides: arudaev.github.io/chexvision

View Project

ml-db-delay-paper

March 26, 2026 – Present

ml-db-delay-paper — repository

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THD-Room-Finder

February 9, 2026 – Present

Native Android app showing free study rooms at THD in real time

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iTravel

February 4, 2026 – Present

Android travel companion with map discovery, GPS-validated reviews, and live weather feeds

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Painfully-Trivial

March 28, 2025 – Present

So easy, even Stack Overflow judges you.

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Project-Arepo

October 8, 2024 – Present

ML-driven stroke risk estimation with analytics dashboards and a Rasa chatbot

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Document-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.

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BlendMyAttempts

February 5, 2021 – July 2, 2023

My attempts to learn Blender 🍌

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Key Strengths

Demonstrated interest in Machine Learning and Data Science through projects like 'Project-Arepo' (ML-driven stroke risk estimation) and 'chexvision' (dual-task chest X-ray pathology detection).
Experience with Python, a core language for Data Science, across multiple projects.
Familiarity with deep learning frameworks (PyTorch) and concepts (from-scratch NumPy neural network in 'chexvision-mini').
Exposure to MLOps-related technologies like Dockerfile in several projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Alexander Rudaev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit