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As an undergraduate researcher on the All-Hazards-AI RAG Platform at Texas A&M (Apr–Aug 2025), I built a browser-based system letting any open-source LLM chat, run user-uploaded Python scripts, and query local CSVs in one page. I architected a hot-reload FastAPI/WebSocket + gRPC stack to keep the GPU model alive, cutting redeploys by 95% and streaming first tokens in under a second. I automated deployment with Bash scripts to install dependencies, compile protobufs, seed data, and launch the full stack in under five minutes.
Visit at https://github.com/NikolaSlv/All-Hazards-AI.

As part of a team of 6, I contributed to the development of a scalable POS system for Panda Express, leveraging Python, React, and PostgreSQL with a cloud-hosted AWS database. The system featured real-time updates across Manager, Cashier, and Kitchen views, enabling seamless order processing and inventory management. I implemented WebSocket-based real-time updates, which reduced network usage by 60% and improved responsiveness by 80%, replacing inefficient polling methods. Throughout the project, we followed Agile practices, conducting weekly sprints and daily standups to ensure continuous improvement and delivery. The project repository is currently private; however, the final PowerPoint presentation is available via the following OneDrive link:
Visit at https://1drv.ms/p/c/6149f540eda847c0/ESlCYIxVTdpEkhPRsLwzKWABYQGgASH-PdwbN4rGTCrAaw?e=pKaF7L.

SoundBytes is an AI-driven platform designed to quickly and accurately summarize news articles and convert them into easy-to-understand audio clips. The project utilizes ChatGPT to extract relevant information and generate summaries, which are then transformed into audio through Microsoft Azure's Cognitive Services. Built using HTML, CSS, JavaScript, and Python with Flask, our team successfully navigated challenges related to API limitations and article formatting to create a dynamic, functional website.
Visit at https://devpost.com/software/soundbyte-q860bk.

Led a team at a Texas A&M Datathon to develop a Convolutional Neural Network for classifying hand-drawn images into 15 major categories in real-time, achieving a top 5 placement and a 55% validation accuracy. Post-competition, independently redesigned the model architecture and trained it on a selected subset of the Google Quick, Draw! dataset, boosting validation accuracy to 86%.
Visit at https://github.com/NikolaSlv/PicPredict.

This project is developed as part of a paper accepted for EnergyVis at VIS 2024, a leading workshop on energy data visualization. Similar Day Analytics utilizes the Frobenius Norm to identify days with comparable weather patterns. The project processes spatiotemporal data, such as temperature and wind speed, creating matrices to represent daily weather characteristics. The Frobenius Norm is then employed to calculate distances between these matrices, enabling the identification of similar days and enhancing meteorological analysis. The project is implemented in Python and incorporates matrix normalization along with k-nearest neighbors for accurate pattern matching.
Visit at https://github.com/NikolaSlv/SimDay-Analytics.

Web-Store is an e-commerce website designed to manage orders for a wide range of products, including packaged foods and other consumer goods. It leverages Express.js, Node.js, and MongoDB, with a user interface built using CSS, Bootstrap, and JavaScript. The site follows the MVC architecture, enabling efficient data handling via REST API, and includes a secure user management system with encrypted passwords. This project emphasizes scalability, security, and a user-friendly design.
Visit at https://github.com/NikolaSlv/web-store.

The Java-SQL Management System was created to assist businesses in managing their operations efficiently by providing a robust system to handle their data needs. The idea behind the project is to offer a practical, easy-to-use application for small to medium-sized enterprises that require reliable data management but may not have the resources for expensive, complex systems. By integrating Java with MySQL, the system provides a cost-effective solution that can be customized and expanded as the business grows.
Visit at https://github.com/NikolaSlv/Java-SQL-Mgmt-System.