Hi, I'm Omer!
Founder, Developer and an AI Researcher

My Projects:

Natural Language Processing, LLMs, and Agents

• Multi-Agent AI Smart Inventory Management System
  An AI-powered warehouse management system using SQLite and AutoGen for real-time inventory tracking, order processing, and task scheduling with intelligent agents.

• LangChain Poetry Agent
  A poetry-generating AI that extracts the 10 most frequent words from a document and dynamically constructs poems using LangChain and GPT-4o-mini.

• Machine Translation System (Transformer-based)
  A custom neural machine translation model using a Transformer encoder-decoder to translate German to English, trained on the Multi30k dataset.

• QA System using Fine-tuned DistilBERT
  A DistilBERT-based QA system trained on the Natural Questions dataset to predict answer spans with precision, recall, and F1-score evaluation.

Machine Learning and Deep Learning

• Attention-Based CNN Intensive Sleep Staging Model
  An optimized AttnSleep model for EEG-based sleep stage classification using TensorFlow, achieving 80% accuracy with improved efficiency.

• Variational Autoencoders (VAE) & CVAE for Digit Generation
  A TensorFlow implementation of VAE and CVAE for generating MNIST digits, incorporating latent space interpolation and semi-supervised learning.

Data Science

• Passport Index & Economic Indicators Analysis
  A machine learning analysis of the relationship between passport strength and economic factors using clustering and regression models.

• Web Scraping for Stock Market Data
  A stock market data scraper using BeautifulSoup and SQLite, integrating the STONKS API for real-time financial data analysis.

Full Stack Development

• Sneaker Bargains Website
  A full-stack Java-React application for real-time sneaker price comparisons from multiple vendors, featuring API integrations and dynamic UI components.

• CSV Explorer
  A React-based CSV file search and visualization tool with a Java backend, supporting interactive navigation and advanced data queries.

Interested in collaborating? Feel free to reach out via LinkedIn or check out my work on GitHub!