Luka Peric is a technically grounded sales manager with 9 years of hands-on experience bridging engineering and customer-facing roles, currently growing Algorithmics’ presence in Graz by delivering tailored coding and digital-skills programs. Trained in Information and Computer Engineering at TU Graz and educated in pedagogy, he combines Linux systems, scripting (Python/C/C++) and monitoring experience from K-Businesscom with strong educational and youth engagement skills from his Salesian internship. He has practical ML/AI exposure as an ML engineer on metavoiceio, contributing finetuning and fast-inference support for expressive TTS models—an unusual blend for someone focused on sales. A history of leadership as president of the Croatian Student Association and extensive documentation and automation work demonstrates his knack for operational improvement and clear communication. Comfortable in both technical troubleshooting and public-facing roles, he excels at translating complex tech into compelling learning products and partnerships. Based in Graz, he looks for opportunities that marry technology, education and cybersecurity impact.
9 years of coding experience
2 years of employment as a software developer
ERASMUS+ Program, ERASMUS+ Program at FER
Bachelor's degree, Information and Computer Engineering, Bachelor's degree, Information and Computer Engineering at Technische Universität Graz
High School Diploma, High School Diploma at Bundesrealgymnasium Reutte
Bachelor of Education - BEd, Computer Science, English, Psychology, Bachelor of Education - BEd, Computer Science, English, Psychology at University of Graz
Contributions:14 reviews, 15 PRs, 20 pushes in 4 months
Contributions summary:Luka primarily focused on finetuning the foundational language model for text-to-speech, implementing features for variable transformer block finetuning, and adding necessary documentation. They updated the codebase to support loading and using finetuned models within a fast inference context. The user also addressed missing dependencies and Colab integration and added support for optional conda/pip installation.
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