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Vladimir Jovicic

Vladimir Jovicic

Versatile, innovative fintech engineer with strong AI/ML expertise.

Switzerland flagZürich, Switzerland
$20.00/hrIntermediateInternal Proprietary Tooling

Key Skills

Software

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
TextText

Top Task Types

Classification
Computer Programming Coding
Data Collection
Fine Tuning
Text Summarization

Freelancer Overview

I am a junior software engineer with over two years of experience in the fintech sector, where I have specialized in designing and implementing AI-driven data labeling and training data pipelines. In my current role, I have leveraged advanced NLP techniques—including BERT fine-tuning and GPT‑4 API integration—to classify and enrich financial data at scale. By developing custom large‑scale crawlers and automating data extraction processes, I consistently generated high‑quality, labeled datasets that significantly enhanced our product features and overall data reliability. Additionally, I have led cross‑functional teams in a fast‑paced, remote environment, ensuring that data labeling processes meet rigorous standards and tight deadlines. My technical toolkit, which includes Python, SQL, and various web crawling frameworks (such as BeautifulSoup and Selenium), allows me to quickly prototype and deploy robust data solutions. This blend of technical expertise and agile leadership enables me to contribute effectively to AI training data projects, setting me apart as a versatile contributor in the field. I have background knowledge in French and Slavic linguistics, and I am currently pursuing a Bachelor of Science part-time degree in Data Science to expand my knowledge.

IntermediateFrenchGermanEnglishSerbian

Labeling Experience

Automated Data Labeling of Financial Securities Web Pages

Internal Proprietary ToolingTextClassificationText Generation
Designed and deployed an automated data labeling system that classified and annotated over 200,000 investment fund pages. This solution leveraged advanced NLP techniques—including GPT‑4 API integration and fine‑tuned BERT models combined with regex parsing—to address critical third‑party data gaps. The project resulted in up to 10% additional data features for subscription‑tier users and improved the overall accuracy and timeliness of financial data feeds. I also led a cross‑functional remote team to optimize data pipelines and ensure scalable, rapid prototyping under tight deadlines.

Designed and deployed an automated data labeling system that classified and annotated over 200,000 investment fund pages. This solution leveraged advanced NLP techniques—including GPT‑4 API integration and fine‑tuned BERT models combined with regex parsing—to address critical third‑party data gaps. The project resulted in up to 10% additional data features for subscription‑tier users and improved the overall accuracy and timeliness of financial data feeds. I also led a cross‑functional remote team to optimize data pipelines and ensure scalable, rapid prototyping under tight deadlines.

2023 - 2024

Education

U

Université de Fribourg - Universität Freiburg

DEEM 60 ECTS, Computer Science

DEEM 60 ECTS
2019 - 2021
U

Université de Fribourg - Universität Freiburg

Bachelor of Arts, French Language and Literature | Slavistics

Bachelor of Arts
2014 - 2018

Work History

No Work History added yet

Vladimir J. hasn’t added any Work History to their OpenTrain profile yet.