My name is Nenad Vujičić, a software engineer from Belgrade, Serbia. I develop software that helps scientists and engineers solve complex problems and make sense of large, technical datasets.

I’ve built applications for:

• Civil & Hydrology Engineers for developing flood and dam-break emergency plans by building hybrid simulation software that models flood-wave propagation, evaluates risk to people and estimates evacuation times—enabling more reliable, data-driven decision-making for emergency planners.
• Hydrology Engineers for managing complex river basins by creating real-time optimization and forecasting tools that compute optimal water distribution, prevent flooding, improve drought resilience and maximize hydropower generation.
• Mechanical Engineers for detecting defects in furnace coils, pipelines and industrial plant infrastructure using ultrasound and 3D imaging thus improving safety and reducing downtime in critical energy systems.
• Medical Researchers for detecting pneumonia, classifying its type, extracting lesions and quantifying disease severity—providing faster for more accurate insights for both clinical and research applications.
• Cartographers & Geospatial Analysts for improving OpenStreetMap and interactive mapping tools, including editing-history viewers for moderators, custom map rendering, geospatial data processing and enhancing developer / user workflows, thus improving usability, efficiency and and data accuracy.
• Startups, agencies and product teams for building high-performance web platforms, MVPs and customer-facing systems, including real-estate discovery platforms, e-commerce systems and digital agency products—focused on rapid validation, scalability, secure payments and data-driven UX.

I specialize in designing and implementing end-to-end solutions using numerical methods, high-performance computing and large-scale data visualization. By combining strong computer science and mathematical foundations with production-grade engineering, I cover the full workflow from data acquisition to visualization and reporting:

Robust real-time data ingestion over Ethernet and USB.

Implementation of advanced computational and analytical techniques, including:

• Signal processing and time-series analysis
• Numerical modeling and statistical analysis
• Parallel and distributed computing using OpenMP, MPI and CUDA
• Machine learning and deep learning using TensorFlow and Keras
• Mathematical optimization (linear, integer and non-linear programming)

All processing pipelines are implemented in C (from 99 to 23), C++ (from 98 to 23) and Python, depending on performance requirements.

High-performance 2D / 3D visualization:

• Scientific visualization with VTK, ParaView, OpenSceneGraph
• Real-time rendering with OpenGL, Vulkan, WebGL and WebGPU
• Custom visualization pipelines for large geometries, simulations and volumetric data

Automated generation of interactive or static engineering reports using:

• Python scripting pipelines with matplotlib and plotly for 2D / 3D charts
• 3D-enabled PDF generation (embedded interactive models using U3D / PRC)
• Microsoft InterOp for Word/Excel report automation
• Web dashboards and HTML-based data visualizations
• Full-stack web platforms for interactive data exploration, reporting and commercial delivery using React, Vue.js, Next.js, Nuxt.js and Tailwind CSS

Focused on delivering actionable insights for engineering teams, field operators and decision makers.

With a strong foundation in mathematics and computer science, I enjoy building tools that bring clarity to complex data and run efficiently on a single PC or scale seamlessly to cloud infrastructure (Azure, GCP, AWS) for larger workloads. If you need custom development or specialized engineering solutions, feel free to get in touch.