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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
TLENet
June 3, 2026 – Present
Scripts for training YOLO models for dataset with images of TLEs (Transient Luminous Events).
View Projectastro-local-rag
May 22, 2026 – Present
Local RAG-powered chatbot for astronomy information (concepts, methods, history, projects/missions,...)
View Projectollama-chatbot-platform
November 15, 2025 – Present
ollama-chatbot-platform — GitHub repository
View Projecta-star-viz
May 21, 2025 – May 21, 2025
Simple ASCII visualization of the A* algorithm written in Rust
View ProjectGMNmeteorNet
March 18, 2024 – August 13, 2025
Set of files used for preprocessing and training an ML model for binary meteor classification of meteor candidates on GMN images.
View ProjectMeteorLog
September 4, 2023 – Present
Android app for generating CSV files of visual observations of meteors for submitting to IMO website.
View ProjectMPCS
February 8, 2022 – January 28, 2025
A program for solving the Minor Planet Center uncertainty maps of near Earth objects (NEOs)
View ProjectImage-to-Icon-Converter
April 12, 2021 – June 19, 2021
Image-to-Icon-Converter — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, focusing on niche scientific applications. While demonstrating strong technical initiative, the lack of team-based or industry-standard projects makes it difficult to assess cultural fit within a typical corporate or collaborative data science environment. The projects show a strong inclination towards independent, deep technical work.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approaches, or communication style.