Przemysław Górecki

Data Scientist

https://talent.gravityer.com/przemyslaw-gorecki

Olsztyn, Silesian Voivodeship, PolandMember since June 22, 2026

Key Strengths

Demonstrated interest in Python-based development, including microframeworks and authorization libraries.
Experience with LLM proxy development ('prompt_sail') indicates an interest in AI/ML related tooling.
Projects like 'fuzzy-autoencoder' and 'aisd' (Algorithms and Data Structures) show foundational knowledge relevant to Data Science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate a proactive and self-driven approach to learning and development, which could indicate a good cultural fit for an innovative environment. The diversity of projects, from web development to data science related topics, suggests adaptability and a broad interest in technology. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

lato

October 21, 2023 – Present

Python microframework for modular monoliths and loosely coupled apps

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prompt_sail

October 13, 2023 – June 15, 2025

Open Source LLM proxy that transparently captures and logs all interactions with LLM API

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mini_modular_monolith

February 22, 2023 – February 22, 2023

mini_modular_monolith — repository

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django-cancan

August 28, 2020 – March 16, 2022

🔓Authorization library for Django

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python-ddd

December 3, 2018 – January 3, 2025

Python DDD example

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mup-git

April 20, 2018 – April 20, 2018

mup-git — repository

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aisd

October 9, 2016 – January 25, 2017

Algorytmy i Struktury Danych - ćwiczenia

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fuzzy-autoencoder

May 26, 2016 – May 26, 2016

fuzzy-autoencoder — repository

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account-hmis

April 1, 2016 – April 9, 2016

account-hmis — repository

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visearch

August 30, 2013 – May 7, 2014

Visual Search Engine

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Key Strengths

Demonstrated interest in Python-based development, including microframeworks and authorization libraries.
Experience with LLM proxy development ('prompt_sail') indicates an interest in AI/ML related tooling.
Projects like 'fuzzy-autoencoder' and 'aisd' (Algorithms and Data Structures) show foundational knowledge relevant to Data Science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Przemysław Górecki

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit