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arianmo477/README.md

👋 About Me

Hi, I'm Arian 👋
MSc student in Data Science & Engineering with a background in Computer Engineering.
I build AI-powered systems and data-driven applications.

🚀 What I Do

  • 🔭 Currently working on: AI-generated video pipelines & data-driven applications
  • 🧠 Interested in: Machine Learning, Deep Learning, and Big Data
  • 💻 Tech stack: Python, PyTorch, Next.js, React

🧩 Skills

  • Languages: Python, JavaScript
  • Frameworks: PyTorch, React, Next.js
  • Tools: Git, Linux, ComfyUI

📌 Projects

  • 🎬 AI Video Generation (ComfyUI, LTX pipelines)
  • 📊 Data analysis & modeling
  • 🌐 Web applications

🎯 Goal

I aim to build intelligent systems that combine AI with real-world and creative applications.

🌱 Beyond Tech

Outside of coding: running for discipline, chess for strategy, and reading to keep learning beyond the screen.

Pinned Loading

  1. EgoCentricVisionPolito EgoCentricVisionPolito Public

    End-to-end egocentric video-language system for moment retrieval and generative QA using VSLNet, EgoVLP, BERT, and Video-LLaVA.

    Jupyter Notebook 2 1

  2. PCA-Principal-Component-Analysis- PCA-Principal-Component-Analysis- Public

    Computational Linear Algebra project applying PCA and k-Means for clustering and feature reduction on survey data.

    Jupyter Notebook 1

  3. spectral_clustring spectral_clustring Public

    Computational clustering project implementing spectral clustering with Laplacian matrices, eigengap analysis, and performance evaluation using silhouette and ARI metrics.

    MATLAB 1

  4. Age-Estimation-from-Speech-Dataset-Regression-Problem Age-Estimation-from-Speech-Dataset-Regression-Problem Public

    Machine learning pipeline for age estimation from speech using acoustic and linguistic features, with preprocessing, feature engineering, and ensemble regression models (Random Forest and Gradient …

    Jupyter Notebook

  5. House-Prices---Advanced-Regression-Techniques House-Prices---Advanced-Regression-Techniques Public

    Kaggle-style regression project on the Ames Housing dataset featuring feature engineering, categorical encoding strategies, cross-validation, and hyperparameter tuning with LightGBM. Focused on min…

    Jupyter Notebook

  6. Time-Series-Fundementals Time-Series-Fundementals Public

    A practical time series project with structured notebooks covering key concepts like preprocessing, trend analysis, stationarity, and basic forecasting techniques using Python.

    Jupyter Notebook