Lukáš Lalinský
Chief Software Architect at AcoustID
Trenčín, Region of Trenčín, Slovakia
Summary
🤩
Rockstar🎓
Top SchoolLukáš Lalinský is a Chief Software Architect based in Trenčín, Slovakia with more than 20 years of experience designing and building backend systems for large internet services and audio platforms. He founded AcoustID and wrote its entire stack—audio analysis, fingerprint search engine, website and API—operating the public service and turning it into a small business in 2016, demonstrating product and technical ownership end-to-end. At SoundStack he focuses on simplifying audio creation, distribution and monetization, and his open-source contributions to mutagen, MusicBrainz (Picard and server), youtube-dl, Chromaprint and TagLib reflect deep expertise in audio metadata and fingerprinting. He combines hands-on C++ and Python development with architecture and DevOps experience—from zero-downtime multi-datacenter migrations to scalable PostgreSQL-backed services—and prefers reshuffling systems until they “click” into simple, maintainable solutions.
20 years of coding experience
16 years of employment as a software developer
Masarykova univerzita v BrneNo degree, Information and Control Systems, No degree, Information and Control Systems at Žilinská univerzita
Slovak, English
Stackoverflow
40,905reputation
5.7mreached
476answers
8questions
postgresql
top-5%
queue
top-1%
character-encoding
top-5%
oop
top-5%
mysql
top-1%
image
top-5%
Github Skills (97)
json-parser10
postgresql10
python10
feature-extraction10
metadata10
cmake10
perl10
yt-dl10
json-p10
dns10
extractor10
regexp10
fourier-transform10
javascript10
jquery10
Programming languages (20)
Github contributions (5)
acoustid/chromaprint
Jul 2010 - Dec 2022
C library for generating audio fingerprints used by AcoustID
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 457 commits, 38 PRs in 12 years 6 months
Contributions summary:Lukáš primarily focused on improving the audio fingerprinting functionality of the Chromaprint library. Their contributions involved adding explicit checks to handle potential NaN results and ensuring the audio has at least one channel. The user also implemented an option to interpolate chroma features and made modifications to support file processing and related tools, ensuring the program could correctly handle various audio file formats. Furthermore, they added support for computing hashes from the fingerprint and implemented a robust memory management.
audio-processingc-libraryacoustidaudioaudio-analysis
metabrainz/picard
Aug 2006 - Apr 2017
Picard is a cross-platform music tagger powered by the MusicBrainz database
Role in this project:Back-end Developer
Back-end DeveloperContributions:1039 commits, 8 PRs, 15 pushes in 10 years 9 months
Contributions summary:Lukáš primarily contributed to implementing and refactoring features within the Picard tagger, focusing on the core logic for file handling and metadata management. Their work involved modifying code in various Python modules, including the core tagger functionality, handling CD lookups, and implementing logic for album and track processing. These changes included integrating with the MusicBrainz webservice and modifying how file metadata is handled within the application.
pythonpicardaudio-fileacoustidmusicbrainz
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.