Jelena Dostić
Data Engineer
Novi Sad, Vojvodina, Serbia
Summary
🤩
Rockstar🎓
Top SchoolJelena Dostić is a data engineer with seven years of experience building ML-driven solutions and production data pipelines, currently driving data initiatives at SmartCat.io from Novi Sad. She progressed from software and AI internships into machine learning engineering roles at Synechron before transitioning to her current data engineering focus, combining hands-on model work with production-grade data systems. Her academic background includes a master’s in Computer Engineering with an intelligent systems specialization, underpinning expertise in applied AI. Jelena contributes to open-source examples for vector databases and LangChain workflows, notably adding an optimized retrieval-agent notebook to the Pinecone examples to improve efficiency and discoverability. Colleagues would describe her as a pragmatic engineer who moves prototypes into robust deployments while keeping an eye on developer experience.
7 years of coding experience
2 years of employment as a software developer
Master's degree Computer Engineering - Intelligent Systems, Master's degree Computer Engineering - Intelligent Systems at Faculty of Technical Sciences, University of Novi Sad
German, English, Serbian
Github Skills (5)
jupyter-notebook10
vector-database10
python10
langchain10
llm10
Programming languages (7)
Github contributions (5)
pinecone-io/examples
Jun 2023 - Oct 2023
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:13 PRs, 12 pushes, 16 branches in 4 months
Contributions summary:Jelena contributed to a Jupyter Notebook example for the `pinecone-io/examples` repository, specifically focused on retrieval agents within the context of the LangChain framework. The primary contribution involved adding a "fast" version of the retrieval agent example, which likely indicates an effort to optimize or improve the efficiency of the existing code. Additionally, they added links to different versions of the notebook to aid discoverability.
jupyter-notebookpineconevector-databaseaillm
VantageDiscovery/vantage-sdk-python
Apr 2024 - Mar 2025
Vantages Python SDK
Contributions:9 releases, 16 reviews, 65 PRs in 10 months
python
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