About me

I am a First-Class graduate of University of Edinburgh, focusing on Computer Vision. My work is aimed at reducing the gap between ML research and real-world use cases.

<aside> 🔹 I have always shined in environments where competent people were needed. I was usually entrusted with important tasks, including talking to clients and having the autonomy to decide how to approach arising problems.



✉️ Send me an email

🖇️ Connect on LinkedIn

💻 See my Github

Work experience


Machine Learning Intern, Warsaw, Poland (Jun 2022 - Nov 2022)

I have joined a thriving robotics startup to work on uncertainty estimation of the Computer Vision models for robust predictions.

As a member of the team my responsibilities include training new models, performing data manipulation and working on pipelines for distributed training.

Nagne Studio

Mobile Software Developer, Edinburgh, UK (May 2019 - Aug 2021)

I had a wide range of responsibilities, from architecture design, code reviews and implementation to contacting and assisting our clients

I have delivered apps to the clients with Push Notifications, QR code scanner, Bluetooth functionality, speech recognition or music playback, both on iOS and Android

Under my supervision, we developed internal tools to reduce development time substantially

Goldman Sachs

Summer Analyst, Remote (COVID) (Jul 2020 - Aug 2020)

Worked in Payments Division on a new Claims project that streamlines the process for requesting delayed payments, reducing overhead costs

Received a job offer after the internship


🇬🇧 University of Edinburgh

Master of Informatics (2017 - 2022)

First Class Award with a weighted average of 74%.

🇨🇦 University of Toronto

International Exchange (2019 - 2020)

Weighted average of 81%.

🇵🇱 III High School in Opole

(2014 - 2017)

100th percentile in Advanced Maths and 98th in Advanced Physics

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