Adam Szokalski
Software Engineer II - AI Poland at Snowflake
Warsaw, Masovian Voivodeship, Poland
Summary
👤
Senior🎓
Top SchoolAdam Szokalski is a software engineer with eight years of experience specializing in AI, machine learning, and neural networks, currently contributing to Snowflake's AI initiatives from Warsaw. He has built and deployed production-grade ML systems and multi-agent LLM architectures, led R&D teams, and co-founded an edtech startup that secured a $400k investment and industry recognition. His research-driven focus on mechanistic interpretability in neural audio models and interest in AI safety signal a strong bridge between academic rigor and practical engineering. Comfortable designing microservices-based ML infrastructure and high-throughput pipelines, he has delivered solutions for enterprise clients and automated critical business operations. Pursuing further study in computational neuroscience, he combines DSP and ML expertise developed during his CS studies and Erasmus exchange with hands-on product delivery.
8 years of coding experience
3 years of employment as a software developer
Student Maths-Informatics-Physics, Student Maths-Informatics-Physics at XIV Liceum Ogólnokształcące im. Stanisława StaszicaInżynier (Inż.) Computer Science (Specialisation in Artificial Intelligence), Inżynier (Inż.) Computer Science (Specialisation in Artificial Intelligence) at Warsaw University of TechnologyErasmus+ Mobility - Master of Engineering - MEng Artificial Intelligence (MEIM), Erasmus+ Mobility - Master of Engineering - MEng Artificial Intelligence (MEIM) at ISEL - Instituto Superior De Engenharia De Lisboa
Polish, English, portugalski
Stackoverflow
65reputation
6kreached
1answer
5questions
Github Skills (62)
pybind119
nodejs9
html8
streaming8
bittorrent8
juce8
browser8
torrent8
css8
vst8
chrome8
javascript8
webtorrent8
webrtc8
python7
Programming languages (6)
Github contributions (5)
ipds/BigInt
Oct 2018 - May 2019
A simple c++ multiprecision library
Contributions:57 commits, 8 PRs, 42 pushes in 6 months
cppmultiprecision
ipds/p2py
Sep 2019 - Sep 2020
The simplest peer to peer networking Python library
Contributions:1 release, 17 commits, 3 PRs in 1 year
networkingpeer-to-peerpython
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