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​​​Od ponad 6-iu lat zajmuję się zawodowo Machine Learningiem. Posiadam zarówno naukowy jak                      i komercyjny background, stale podnosząc swe kompetencje. Z wykształcenia biotechnolog molekularny (UW, mgr (temat pracy: Oddziaływanie odpadów nanotechnologii na organizmy i akumulację metali), 2013 [5], lic. (mykologia), 2012 [3.5]: https://apd.uw.edu.pl), biolog (lic.) (UW, bez dyplomu) oraz dyplomowany specjalista ds. sztucznej inteligencji (UE Katowice: Sztuczna Inteligencja w Analizie Danych, podyplomowe, 2025 i informatyk (studia magisterskie - w trakcie realizacji toku studiów (uczelnia niepubliczna, średnia: 4.43)), która by uzyskać swe zawodowe flow podążyła stricte w IT.

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CV:​​​​​​

Passionate ML programmer and thriving analyst who can apply machine learning algorithms as a high -performing solution for business problems across diverse industries. My career path is defined by various extremes, as well as a specific field of interest intellectual curiosity, and self-development.

My expertise extends to various deep learning frameworks, including TensorFlow, Keras, Caffe, and PyTorch, and I am adept at working with large datasets and cloud computing platforms (Azure ML).​​​​​​​​​​​​​​​

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Wioleta Aneta Dołowa (WAD) - usługi programistyczne i redaktorskie (owner)

III.2026  - Present (remote, part-time: 3/4): (Warsaw, North Downtown) 

Python scripting, machine learning, statistical analysis  & articles: IT, popular science, interior design & social media.

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Machine Learning Engineer & MLOps
IX.2019 - 2025

Python, SQL, Jira, Confluence, PosdgreSQL, machine learning, time series, image processing, Azure ML Studio, ARIMA, autoencoder, XGBoost, DT, RF, LSTM, ANN, CNN, DNN, RNN, CatBoost, AdaBoost, SVM, LLM (Llama, Hugging Face), OpenCV, PyTorch, Caffe, Boruta, PCA, SHAP, dalex, LaTex, Canva, deployment of final projects, prepare technical documenation in docstring standards. Support in areas where tooling and automation haven’t been created yet and bug-fixing.

I've collaborated witch such companies as SkyConcept (Real Estate Digital Data), ICsec, UW (Faculty of Physics) and various others, delivering tailored solutions in the domain of machine learning and research.

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MLOps 

V.2023 - IV.2024 (remote)

University of Warsaw (Faculty of Physics)

Deployment of final projects in OpenCV, Caffe, and PyTorch framework (based on ´SVAROG´ ). Prepare technical documenation in docstring standards. Improve the speed of video processing, reliability, and efficiency and reduce the computational cost of analysis.   

Open-source project.
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Copywriter

KUGARU

I.2026 - Present (remote)
VI.2010 - XI.2025 (remote)

Articles: IT, popular science, interior design & social media
I've collaborated witch such websites as eBiotechnologia.pl, neuronauka.org, TPG, urzadzamy.pl and various others.

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Trainee 

Warsaw University of Life Sciences
IX.2019 - VIII.2020 (part-time)

Python, neural networks, VGG16, VGG19, deep learning, AI, image processing, multiclass classification

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Freelancer (Data Analyst)

Nencki Institute of Experimental Biology PAS, Limbic Lab & Mossakowski Medical Research Institute PAS

XI.2011 - XII.2013 (part-time) & III - VII.2014, VII - XII.2019 (part-time)

Data analysis (signal analysis (EEG analysis: decomposition, FFT, STFT, burst, statistical analysis (GraphPad Prism, Excel)), Python programmer

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VIII.2010 - V.2019

C++ programmer: hobbyist coder 

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Trainee, Regulatory Affairs Specialist, Expert of evaluation of blood-derived drug documentation 

The Office for Registration of Medicinal Products, Medical Devices and Biocidal Products

VIII.2014 - VIII.2017 (full-time: contract of employment)

 

 2003 - 2006  SLO (High school profile: mathematical and physical)​​​

​(graduated with distinction)

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co-author: 

Jegorowa, A., Kurek, J., Antoniuk, I., Dołowa, W., Bukowski, M., Czarniak, P. (2021). "Deep learning methods for drill wear classification based on images of holes drilled in melamine faced chipboard". Wood Science and Technology, 55(1): 271-293, DOI: 10.1007/s00226-020-01245-7

Jegorowa, A., Antoniuk, I., Kurek, J., Bukowski, M., Dołowa, W., Czarniak, P. (2020). "Time-efficient approach to drill condition monitoring based on images of holes drilled in melamine faced chipboard," BioRes. 15(4), 9611-9624: DOI: 

​10.15376/biores.15.4.9611-9624

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https://www.researchgate.net/profile/Wioleta-Dolowa

LinkedIn: brak​​​​​

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Hobby:

literature (Non-fiction: popular science, philosophical essays, biographies, report),
music (rock, metal, ambient, symphonic soundtracks),

snake keeping (Corn snake:  Pantherophis guttatus),
interior design,

broadly understood modern art (immersion exhibitions, modern surrealist painting, photography),

mindfulness.

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Languages: 

English: B2+/C1,

German: A2,

French: A1,

Dutch: A1 - during learning,

Russian: A2.

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Skills:

professional ethics  |  loyalty |  kaizen rule

goal-oriented  |  communicative | cooperative  |  ‘can-do’ attitude

self-development commitment  |  analytical thinking  |  flexibility | proactive | individualist​​

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Achievements:

IV.2012  International Polish Amateur Epee Fencing Challenge (Warsaw).

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