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Filip GvozdićFG
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Filip Gvozdić

@filipgvozdi

AI Product Engineer building production RAG systems with grounded answers, evaluation, and per-query cost tracking.

Serbia
Message

At Sportradar, I designed the evaluation framework and acceptance criteria used across five concurrent AI training programmes. I also deployed ML and LLM automation that replaced 70% of manual review, measured against a defined quality bar.

I built InVerba as its sole architect and engineer: a multi-tenant RAG document platform with grounded, cited answers and per-tenant security controls. I also built open-source projects for document Q&A with groundedness scoring and cost tracking, and a multi-agent research workflow with a reviewer quality gate.

Experience

Work history, roles, and key accomplishments

Sportradar logoSP
Current

Senior Project Manager, Annotation Operations

Apr 2025 - Present (1 year 7 months)

Built and deployed ML and LLM automation that replaced manual review in the annotation pipeline, reducing manual QA effort by 70%. Designed evaluation frameworks and acceptance criteria, shipped a production ML model for effort forecasting, and built an internal annotation tool that lifted throughput by 300%.

SL

QA Specialist & Trainer

Synergy Sports Technology, LLC

Jan 2013 - Dec 2022 (9 years 11 months)

Set and enforced quality standards for sports-data collection across a distributed contractor team. Built the training and certification programme used to onboard every new specialist.

Education

Degrees, certifications, and relevant coursework

University of Belgrade logoUB

University of Belgrade

Bachelor of Science, Management and Organization

2008 - 2013

Grade: 8.97

BSc in Management and Organization from the University of Belgrade, Faculty of Organizational Sciences, with a GPA of 8.97.

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