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Ruhul-Quddus-Tamim/README.md

About

Graduated in CS from Universiti Teknologi Malaysia. Passionate professional with a strong foundation in Data Science, AI/ML complemented by hands-on experience in Data Engineering, MLOps, LLMOps and cloud architecture. Currently operating in ML models, infra, building data pipelines, researching on agents and tools using LLMs, making sure AI models behave and grow like they’ve had a double shot of espresso at Persuasion by Incubeta.

Previously interned at Tapway, where I wrangled computer vision models, backed up MLOps engineers, integrated deep learning magic, and turbocharged the training pipeline of SamurAI by Tapway to be faster 2x and smarter using cutting-edge technologies.

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  1. Machine-Learning-Algorithms Machine-Learning-Algorithms Public

    ML Stuff regarding deep understanding of ML algorithms | This repo also contains some of my clients' projects on ML, IaC

    Jupyter Notebook 2

  2. Operational_ML Operational_ML Public

    Demonstrating the end-to-end MLOps workflow, integrating data prep, tuning, and deployment using Metaflow and MLflow, all within a secure and scalable Google Cloud environment.

    Python 1

  3. Computer-Vision-and-Image-Processing Computer-Vision-and-Image-Processing Public

    Worked on Computer Vision algorithms, understanding of OpenCV and Pillow operations | Pre-Trained models, neural networks, vanilla classifier

    Jupyter Notebook 2

  4. Deep-Learning-With-PyTorch Deep-Learning-With-PyTorch Public

    Contains my capstone project by IBM on image classification | Completed Kaggle competition on Time-Series forecasting model | Several experimentation on neural networks

    Jupyter Notebook 2

  5. DeepCells---Cancer-Prediction-System DeepCells---Cancer-Prediction-System Public

    Final Year Capstone Project - worked on Naive Bayes Classification with UI integration using C# and aspx

    ASP.NET

  6. Hybrid-Recommendation Hybrid-Recommendation Public

    Movie Recommendation System using graph based database

    Python 1