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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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Addalin-CP3445/README.md

💫 About Me:

Production-focused AI Engineer (MSc Big Data Science, Distinction | Azure Certified) designing scalable ML and LLM systems that move from experimentation to enterprise impact. I turn complex AI into secure, high-performance solutions that drive operational efficiency and intelligent decision-making.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python Google Cloud Azure FastAPI Express.js Flask NodeJS OpenCV NPM React Jenkins Nginx Apache Firebase MongoDB MySQL Postgres Matplotlib mlflow NumPy Pandas PyTorch scikit-learn Scipy TensorFlow GitLab CI GitHub Actions Bitbucket Git GitHub GitLab Selenium Docker Kubernetes Postman Power Bi Swagger OpenGL Heroku Angular.js Angular Apache Hadoop Apache Hive Apache Spark nVIDIA JWT Yarn Vite React Native Java JavaScript

📊 GitHub Stats:



✍️ Random Dev Quote

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  1. FedML-Enhanced-FedNova FedML-Enhanced-FedNova Public

    This repo contains my dissertation project done during my Masters in Queen Mary University of London.

    Python 1

  2. Big-Data Big-Data Public

    Big Data Processing and Analysis of NYC Rideshare Dataset Using Apache Spark for Insights and Anomaly Detection

    Jupyter Notebook

  3. Neural-Networks-and-Deep-Learning Neural-Networks-and-Deep-Learning Public

    Implementation of a Neural Network for Image Classification on the CIFAR-10 Dataset with Custom Architecture

    Jupyter Notebook

  4. Machine-Learning Machine-Learning Public

    Design and Implementation of Machine Learning Pipelines for Gluten Detection and Food Image Classification

    Jupyter Notebook

  5. FIBA-2023-Ontology FIBA-2023-Ontology Public

    Development of a FIBA 2023 Ontology Using OWL2 with Data Integration and Rule-Based Reasoning in Protégé

    Jupyter Notebook

  6. Applied-Statistics Applied-Statistics Public

    Courseworks from module Applied Statistics explores the use of probability and statistics in data analysis, starting with the fundamentals of descriptive statistics and probability theory.

    Jupyter Notebook