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Data Scientist. MEng Computer Science - Data Science graduate from AGH University. My main interest is Machine Learning especially Gen AI
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AGH University of Science and Technology
Data Scientist
June 29, 2026 – Present
multi-agent-travel-planner
June 25, 2026 – Present
multi-agent-travel-planner — GitHub repository
View Projectparrotly-personal-knowledge-assistant
April 19, 2026 – Present
Modular RAG system with hybrid retrieval, reranking, and multi-provider LLM support (OpenAI & Ollama). Includes observability features like latency, token usage, and cost tracking.
View Projectagh-machine-learning
February 20, 2025 – March 11, 2025
This projects were made for the Machine Learning course at the AGH UST in 2024/2025. Obtained maximum grade 5.0.
View Projectagh-large-scale-data-analysis
November 11, 2024 – February 20, 2025
This respository contains projects made for the Large Scale Data Analysis course at the AGH UST in 2024.
View Projectagh-natural-language-processing
October 22, 2024 – March 11, 2025
This respository contains projects made for the NLP course at the AGH UST in 2024/2025. Obtained maximum grade 5.0.
View Projecttime_series_classification_for_small_data
October 3, 2024 – January 15, 2025
time_series_classification_for_small_data — GitHub repository
View Projectbank_customer_segmentation_methods
August 7, 2024 – November 11, 2024
The main goal of this project is to use various Clustering Methods for Bank Customer Segmentation.
View Projectevolution-simulator
March 21, 2024 – July 5, 2024
Evolution simulator is a desktop java application creted for the Object-Oriented Programming course at the AGH UST in 2022/2023.
View Projectagh-operating-systems
April 27, 2023 – July 5, 2024
In this repository are gathered my numerous solved exercises from Operating Systems Laboratories on AGH
View Projectagh-quantitative-measures-of-market-risk
December 9, 2021 – July 12, 2024
This repository consits of: projects and homeworks connected with research area such as Risk Management.
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic or personal, indicating a strong drive for learning and self-improvement. The diversity of technologies and project types (e.g., Java desktop app, OS exercises, data analysis, RAG system) suggests adaptability and a broad technical curiosity. However, the lack of professional experience beyond a current 'Data Scientist' role at a university (with no start date provided) makes it difficult to fully assess cultural fit in a corporate environment. The experience level is listed as 0, which contradicts the 'Data Scientist' role, suggesting this might be an academic or research assistant position.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.