# Filip Gvozdić

Filip Gvozdić is a remote worker on Himalayas, Senior Project Manager, Annotation Operations at Sportradar, based in Serbia.

Source: https://himalayas.app/@filipgvozdi

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

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Serbia |
| Authorized to work in | Serbia |
| Salary expectations | 105k+ EUR |
| Job categories | AI Product Engineer, AI Engineer, Machine Learning Engineer, Project Manager |
| Skills | LLM Evaluation, RAG, Groundedness Scoring, Hallucination Detection, Citation Verification, AI Agents, Multi Agent Systems, Quality Gates, Acceptance Criteria, Inter Annotator Agreement, Request Level Cost Tracking, Unit Economics, Cost Forecasting, Embeddings, Semantic Search |
| Website | https://inverba.app |
| Portfolio | https://huggingface.co/spaces/filipg-dev/rag-cost-dashboard |
| LinkedIn | https://linkedin.com/in/filip-gvozdic |

## About

```text
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

### Senior Project Manager, Annotation Operations (current)

[Sportradar](https://himalayas.app/companies/sportradar). Apr 2025 - Present

```text
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%.
```

Skills: LLM, Evaluation-Frameworks, Acceptance-Criteria, Review-Workflows, Inter-Annotator-Agreement, Cost-Forecasting, Unit-Economics, Team-Leadership, Remote-Work

### Project & QA Manager, Data Labelling

[Sportradar](https://himalayas.app/companies/sportradar). May 2022 - Mar 2025

```text
Ran data-labelling programmes for computer vision training end to end. Introduced inter-annotator agreement standards and sampling methods, improving dataset consistency and reducing model retraining cycles.
```

Skills: Data-Labeling, Computer-Vision, Inter-Annotator-Agreement, Sampling, Quality-Assurance, Project-Management

### QA Specialist & Trainer

Synergy Sports Technology, LLC. Jan 2013 - Dec 2022

```text
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.
```

Skills: Quality-Assurance, Training, Certification, Sports-Data, Team-Management

## Education

### University of Belgrade

Bachelor of Science, Management and Organization. 2008 - 2013. Grade: 8.97

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

## Tech stack

- AWS Glue
- AWS IAM
- Amazon CloudWatch
- Amazon S3
- PostgreSQL
- Terraform
- Python
- Streamlit
- FastAPI
- AWS Lambda
- Amazon RDS
- Amazon Cognito
- Git
- Amazon Athena
- AWS KMS
- Qdrant
- LangChain
- LlamaIndex
- ChromaDB
- CrewAI
- pgvector
- LangGraph
- Model Context Protocol (MCP)
- AWS
- REST APIs

To contact Filip, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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