Mahdi Hamidbeygi

A comprehensive job application assistant that helps you manage and streamline your job search process. The platform consists of a web application and browser extension that work together to help you fill out job applications, generate tailored documents, and track your applications.

This project provides tools for seismic signal processing and analysis, with a focus on waveform analysis, pulse identification, and wavelet analysis.

This repository contains Python scripts to fine-tune the TinyLlama-1.1B-Chat-v1.0 model for generating professional and personalized cover letters. The fine-tuning process utilizes Parameter-Efficient Fine-Tuning (PEFT) with LoRA and 4-bit quantization (via BitsAndBytes) for efficient training, even on consumer-grade hardware.

Versatile job search & web data extraction suite. Features: Agentic RAG job engine (Django, LLM), LinkedIn scraper (AI skill analysis, anti-detection), News API job finder, and browser automation with Cloudflare bypass. For intelligent, automated job discovery & data collection.

This repository contains a collection of data science projects and analyses covering various domains and datasets. Each project focuses on different aspects of data analysis, machine learning, and statistical inference.

This repository contains a deep learning implementation for earthquake location using a Fully Convolutional Network (FCN). The model processes seismic waveform data to predict earthquake locations in 3D space.

A Python tool for finding the best statistical distribution that fits a given dataset. This tool uses the Kolmogorov-Smirnov test to evaluate the goodness of fit for various probability distributions.

Bayesian Earthquake Analysis Tool