Master's professor of computer science and mathematics

2024

State University of Novi Pazar

AI & Python Development

2023 - 2024

ITAcademy by LINKGroup, Belgrade

HTML, CSS, JavaScript & React

2022 - 2023

Center NIT Novi Pazar

State professional exam

2021

Ministry of public administration and local self-government

Computer electrical technician

2008 - 2012

Technical school of Novi Pazar

Mid-Level Python Developer

2024 - Past

LINK Group

Teacher

2022 - 2023

Center NIT Novi Pazar

System Administration

2019 - 2022

City of Novi Pazar

Gave private lessons in mathematics and computer science

2017 - 2019

Novi Pazar and Belgrade

Software for Early Detection of Grapevine Diseases

• Developed an AI-powered solution capable of detecting subtle changes in grapevine leaves, enabling early disease detection and improved crop health.
• Implemented a deep learning model using PyTorch, NumPy, and Matplotlib to analyze leaf patterns and predict potential diseases.
• Used MySQL for efficient data storage and retrieval, ensuring scalability for agricultural monitoring systems.
• Business value: Helps vineyards reduce crop loss, optimize disease management, and improve yield efficiency.
• Key Technologies: PyTorch, NumPy, Matplotlib, MySQL, Flask

Software Solution for Drug Interaction Analysis Using Artificial Intelligence

• Created an AI-based system to identify potential drug interactions and predict adverse effects.
• Designed a machine learning model using scikit-learn and TensorFlow to assess risks associated with combined medication use.
• Applied NLP techniques (spaCy, NLTK) for automatic extraction of medical texts and drug-related insights.
• Developed a Flask/FastAPI web application for user-friendly drug entry and risk assessment recommendations.
• Business value: Supports pharmaceutical safety, reducing patient risks and enhancing medical decision-making.
• Key Technologies: Flask, FastAPI, scikit-learn, TensorFlow, PostgreSQL, spaCy, NLTK

Automated Predictive Analytics System for Business Intelligence

• Developed an AI-powered predictive analytics system to analyze historical data, forecast future trends, and enhance strategic decision-making.
• Implemented machine learning models (scikit-learn, TensorFlow, PyTorch) for time-series forecasting, anomaly detection, and customer behavior analysis.
• Created a RESTful API with FastAPI, allowing real-time predictive insights via API requests.
• Designed an ETL pipeline using Pandas, NumPy, and Apache Spark, integrated with PostgreSQL, MongoDB, and DuckDB.
• Developed an interactive dashboard with Dash/Plotly for visualizing trends and automated reports.
• Business value: Enables companies to leverage AI for automated decision-making and maximize efficiency through data-driven insights.
• Key Technologies: FastAPI, TensorFlow, PyTorch, Pandas, NumPy, Apache Spark, PostgreSQL, MongoDB, DuckDB, Dash/Plotly

Automated Web Data Collection

• Developed a Python-based web scraping solution using BeautifulSoup and Scrapy to extract real-time data from websites.
• Optimized code for efficient data processing, reducing loading time and improving performance.
• Applied collected data for trend analysis in the e-commerce industry, aiding business forecasting.
• Business value: Enables companies to monitor competitors, track market trends, and make data-driven business decisions.
• Key Technologies: Python, BeautifulSoup, Scrapy, Pandas, SQLite

Sentiment Analysis on Social Media

• Designed an NLP-powered model to categorize user comments into positive, neutral, or negative sentiments.
• Implemented tools such as Pandas, NLTK, and VADER Sentiment Analyzer for advanced text processing.
• Generated interactive visualizations to improve the understanding of user reactions and engagement trends.
• Business value: Helps brands assess customer sentiment, refine marketing strategies, and enhance customer engagement.
• Key Technologies: Pandas, NLTK, VADER Sentiment Analyzer, Dash/Plotly

Web Shop – Online Clothing Store

• Developed a Flask-based web application for selling a variety of clothing items online.
• Designed a dynamic front-end using CSS and JavaScript to provide an intuitive shopping experience.
• Managed databases using MySQL and SQLite for efficient product inventory and order tracking.
• Business value: Enables businesses to scale their e-commerce operations with a seamless online platform.
• Key Technologies: Flask, MySQL, SQLite, CSS, JavaScript

Warehouse Management System – Carpet Inventory

• Built a Flask-based inventory management system for handling large carpet warehouse logistics.
• Implemented secure data storage using PostgreSQL and SQLite to optimize inventory management.
• Developed an interactive dashboard with CSS and JavaScript for real-time product monitoring.
• Business value: Enhances inventory tracking, reduces losses, and improves operational efficiency.
• Key Technologies: Flask, PostgreSQL, SQLite, CSS, JavaScript

Table Reservations in Restaurants

• Created a Django-based web application for restaurant table bookings.
• Developed a responsive UI using CSS and JavaScript, ensuring seamless customer interactions.
• Integrated secure database management with MySQL and SQLite for reservation tracking.
• Business value: Streamlines restaurant bookings, improves customer service, and optimizes table occupancy.
• Key Technologies: Django, MySQL, SQLite, CSS, JavaScript