Slav Petkovic

Portfolio

Welcome to my digital portfolio. This space showcases a selection of projects that I have successfully completed and am able to share publicly. Please note that there are numerous other projects I have contributed to or completed during my tenure with different companies and teams. However, due to confidentiality and proprietary constraints, I am unable to exhibit them here.

  • All
  • AI
  • Data Science
  • Apps
  • Backend
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Hierarchical Autonomous Agents

The Hierarchical Autonomous Agent Swarm (HAAS) is an advanced system composed of three interconnected agents, each specialized to perform tasks related to querying SQL database and analytics. This system enables efficient handling of natural language prompts to execute and analyze data from SQL database.

GitHub

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RAG - AI Agent

Application designed based on retrieval-augmented generation model, using Langchain framework and Streamlit interface to provides question-answering capabilities using Large Language Models (LLM). It allows users to upload documents, process them, and use a LLM to answer questions based on the content of these documents.

Client: Dropbox

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Mars Rover

An innovative robotic platform featuring multi-terrain mobility, equipped with sensory and control systems, designed for versatile applications ranging from environmental monitoring to automated material handling.

GitHub

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Synthetica app

GUI-based application designed to interact with OpenAI's GPT and DALL-E models, providing users with the ability to generate text and image responses to prompts. It features a modern interface, history management of prompts, and secure credential handling for API interactions.

GitHub

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Flask Weather App

The Weather App is a web application built with Flask that allows users to retrieve weather information for a given location. It uses the OpenWeatherMap API to fetch real-time weather data and displays it to the user.

GitHub

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Life Expectancy Analysis

leveraging datasets from global health organizations, this analysis employs statistical models to uncovering the multifaceted influences on human longevity.

GitHub

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Customer Life Time Value Analysis

This project focuses on analyzing customer behavior to predict their lifetime value to a business. By integrating data from various customer touchpoints, the project employs machine learning models to forecast long-term profitability and inform customer relationship management strategies. The analysis helps businesses tailor their marketing efforts and optimize resource allocation.

GitHub

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ETL Process

This project automates the workflow for ingesting data from multiple sources, transforming it into a structured format suitable for analysis, and loading it into a data warehouse. The process ensures data integrity and supports efficient data analysis and business intelligence activities.

GitHub