Applied Software Engineering · FTN Novi Sad
Electrical and Computer Engineering graduate passionate about Smart Grid systems, AI-driven solutions, distributed software, and full-stack web development.
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Hi! I'm Vladana Aleksić, an Electrical and Computer Engineering graduate from the Faculty of Technical Sciences, University of Novi Sad, with a background in Applied Software Engineering.
I'm an independent and responsible individual with strong analytical skills and attention to detail. I enjoy tackling complex engineering problems — whether that means designing distributed systems in C#, building full-stack web applications with Python, Flask and React, or developing AI-driven solutions for Smart Grid systems. I'm always eager to learn, take on new challenges, and grow both professionally and academically.
Outside of work, I enjoy chess, long walks, and anything that involves progress and good organisation. I'm fluent in Serbian and English, and I hold certificates in Foundational C# with Microsoft, MATLAB Onramp, and JetBrains Frontend Developer. I have also completed the ARTIFACT Summer School on AI tools for urban flood risk modelling.
I'm particularly interested in research and development opportunities where I can apply and expand my knowledge, with the goal of pursuing an academic career while gaining valuable professional experience in the industry.
Average grade
GitHub projects
Work experiences
Faculty of Technical Sciences, University of Novi Sad
Demonstrator
Assisting in conducting laboratory exercises, guiding students through practical tasks, and ensuring their understanding of key concepts.
Université Gustave Eiffel, France
Research Intern
Collaborated with a researcher on data processing, statistical analysis, and preparation of academic bibliography. Tasks included organising and analysing datasets, performing analytical procedures, and supporting documentation and literature review.
Private Tutoring
Tutor
Providing individual private lessons to fellow students throughout university. Subjects covered include: Mathematics, Compiler Construction, Optimisation Methods in Infrastructure Systems...
Travel Planner
Microservice-based trip planning app (destinations, activities, expenses, checklist, plan sharing via QR code) built on Microsoft Service Fabric with SQL Server databases, a React (Vite) frontend, and a YARP gateway.
Smart Apiary
Cloud-native IoT platform for beekeepers and farmers with remote hive monitoring, real-time telemetry, pesticide spray alerts, and full apiary management. Built with Clean Architecture, DDD and CQRS on Azure (Functions, SQL, Table/Blob/Queue Storage) with a React + SignalR frontend.
Recipe Platform
Full-stack recipe sharing platform with Python Flask backend, React + TypeScript frontend, Docker, and CI/CD to Render.
Botanical Specimen Management System
Multi-layered WPF application for managing botanical specimens and running statistical analysis over monitoring data, split into two WCF-connected components using Command, State, Observer, Adapter, Strategy and Factory design patterns.
Publisher–Subscriber TCP System
Concurrent Pub/Sub messaging system in C using TCP sockets, thread pools, and thread-safe data structures.
CIM / NMS / GDA System
Complete implementation of CIM model, Network Management System, and Generic Data Access communication pipeline in C# and .NET.
FloodSafe
Prototype navigation system that guides people to safety during urban floods using real-time geolocation and dynamic routing.
DERMS
Dispatcher system for monitoring and managing distributed energy resources in a Smart Grid via UDP/TCP communication.
MicroGrid
Simulated electricity production and consumption in a MicroGrid with dynamic resource regulation and consumption tracking.
Smart Grid Monitor
Monitoring and analysing a Smart Grid using time-series data — voltage, current, frequency, energy consumption, and fault indicators.
Travel Agency Web App
Web application simulating an online travel agency — browse, book, and manage travel packages, accommodations, and reservations.
SCADA Battery Monitor
System for monitoring and managing an external battery, featuring simulated charging and discharging processes with real-time state tracking.
Flood Risk ML Pipeline
Complete machine learning pipeline for geospatial flood risk prediction — data preprocessing, feature selection, and hyperparameter-tuned Random Forest classification on a ~16k sample dataset.
Content Management System
WPF desktop CMS with role-based access (Admin/Visitor), rich text editing, image preview, and XML/RTF serialisation.
SIEM Security Platform
Centralized Security Information and Event Management system for real-time monitoring, analysis, and response to security incidents across the entire IT infrastructure.
Novi Sad, Serbia
Internships & Work & Collaborations