Vladimir Blagojevic
Senior Software Engineer at deepset
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolVladimir Blagojevic is a Senior Software Engineer and deep learning specialist based in Berlin with 11 years of experience building production-grade AI and distributed systems. He blends a strong mathematics and algorithms background with hands-on ML engineering, currently focused on NLP and reinforcement learning and contributing to deepset’s Haystack framework (notably LFQA and retriever integrations). His career spans foundational work in distributed messaging and data grids at Red Hat and early mobile platform engineering at BlackBerry, with several US patents reflecting deep systems expertise. A Stanford AI professional-program alumnus with an MSc from York University, he thrives on ownership and high-impact challenges—often bridging research ideas into robust, test-covered production components.
11 years of coding experience
16 years of employment as a software developer
B.Sc, Computer Science, B.Sc, Computer Science at York UniversityArtificial Intelligence Professional Program, Artificial Intelligence Professional Program at Stanford University
German, English, Serbian
Stackoverflow
61reputation
672reached
2answers
0questions
Github Skills (15)
transformers10
machine-learning10
lm10
retrieval-augmented-generation10
nlp10
large-language-models10
python10
generative-ai10
natural-language-processing10
question-answering10
llm10
pytorch9
huggingface-transformers6
haystack6
huggingface-datasets6
Programming languages (12)
Github contributions (5)
deepset-ai/haystack
Jun 2021 - Jan 2023
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Role in this project:
Backend & ML Engineer
Backend & ML EngineerContributions:4 releases, 1064 reviews, 89 commits in 1 year 7 months
Contributions summary:Vladimir contributed to the development and integration of the Longform-QA (LFQA), Seq2SeqGenerator for generative QA, and Retribert Retriever components within the Haystack framework. The contributions included implementing these new components and their integration with Haystack, implementing unit tests for the new features, and improving error reporting and documentation. They also contributed to initialising a conftest default value for vector dimension and updating PR's after initial feedback.
aillmmultimodalorchestration-frameworksemantic-search
vblagoje/pr-auto
Jan 2024 - Jan 2025
Automatically generate comprehensive Pull Request descriptions with LLMs
Contributions:4 releases, 1 review, 3 PRs in 11 months
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