Software Engineer · PhD student · Educator Distributed systems, storage and graph machine learning

📧 stefan@lugons.org · 📝 Blog · 💻 GitHub

📍 Novi Sad, Serbia

Jun 2026 - Present

Development of a financial screening agentic pipelines.

Mar 2022 – May 2026

Development of a distributed unified storage solution.

• Working on Nutanix Files platform (AFS): data replication, tiering, changed-block tracking
• NFS support as external storage on Nutanix cluster
• Implementation of scalable distributed algorithms for data management

Jun 2024 – Jan 2025

Mar 2023 – Present

Jan 2017 – Mar 2023

Lecturing computer graphics, distributed systems and functional programming paradigms.

Oct 2021 – Jun 2022

Mainly DevOps, ML ops and software architecture.

Dec 2018 – Jan 2022

Development of Linux Embedded Automotive Platform (LEAP) and High Performance Controller for Automotive.

• Developed software in C++11/C++14, network and GPU acceleration
• Managed CI infrastructure (Jenkins and Docker)
• Development of custom build system tooling

Jun 2017 – Jan 2018

• Financial analysis software generating reports from historical stock market data
• Multiple jobs as Haskell/PureScript developer
• DevOps and backend jobs

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• VertexVoyage — distributed system for node embedding in real networks. Implements graph embedding algorithms such as DeepWalk, Node2Vec and DistGER and enables fast and scalable graph database operations. Python, Rust
• PageProc — document layout analysis using the xy-cuts algorithm, rule-based heuristics and RDF to classify elements on a page. Python, C++, OpenCV
• Osmium — an attempt to make an open source version of the Wolfram language with a compatible API
• DistTranscode — distributed FFmpeg: video decoding, encoding and filtering
• CoNAL — Computing Node Abstraction Layer: framework for building distributed applications. C++, Bash
• FinPredict — financial asset trading bot based on a machine learned model from news and other text sources
• CloudPost — vendor-agnostic platform for making and deploying cloud-based applications. Python
• InstantAPI — framework for easy creation of REST APIs using declarative syntax. Python
• Neptune — interpreted language which supports operator overloading and custom scope rules
• STELLAR — a simple language for manipulating tabular data
• FluidSim — fluid simulation based on solving Navier-Stokes equations. Python, NumPy
• Height3D — OOP framework for making 3D apps: drawing of 3D objects, textures, events and animations. C++, OpenGL
• ACASP — ad collection and search platform which crawls web pages to find ad postings. Java, Enterprise Java Beans

• 2024 — VertexVoyage: A distributed system for graph node embedding in complex networks.
• 2023 — Segmentation and classification of elements on the document page. University of Novi Sad
• 2021 — CoNAL: system for parallel computing and data sharing on multiple nodes in network with different CPU architectures. University of Novi Sad
• 2016 — Memory usage analysis of different representations of multi-layer terrain. Petnica Annual Issue, 75, pp. 272–276 · PDF
• 2015 — Comparison and analysis of numerical methods for incompressible fluid simulation in domain with solid obstacles. Petnica Annual Issue, 74, pp. 185–189 · PDF
• 2014 — Reliability comparison of person recognition methods: of face recognition, speech recognition and a combination of these methods. Petnica Annual Issue, 73, pp. 211–216 · PDF

Technologies: CUDA C/C++ Python Haskell Scala

Operating systems: GNU/Linux Windows BSD

Interests: Storage and databases · Compiler design · Distributed systems · Machine learning · Graphs and complex networks