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Hi there 👋

💻🤖 I am a 24-year-old developer, passionate about Machine Learning.

🎓 Education:

  • Master's Degree in Computer Science with a Specialization in Machine Learning (Epitech, 2023)
    • Relevant Coursework: [Deep Learning, Natural Language Processing, Computer Vision, RL]

🌟 Skills: I am proficient in a wide range of programming languages, tools, and technologies, including but not limited to:

  • Programming Languages: Python
  • Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn
  • Web Development: Vue.js, React.js, TypeScript, HTML, CSS
  • Backend Development: Python, Flask, FastAPI
  • Databases: PostgreSQL, SQLite, MongoDB
  • Data Science: Data preprocessing, feature selection, model evaluation
  • Other Skills: Docker, Express.js, Figma, Firebase, GraphQL, Node.js

🚀 Professional Experience:

  • 👨‍💻 Full-Stack Developer & Machine Learning Engineer @ ReportLinker.com (April 2022 - Present)

    • Projects Completed:
      • Developed a SaaS data search solution using Vue.js and Express.js
      • Created an automated pipeline for training named entity recognition models
      • Deployed classification, coreference, and named entity recognition models with Python and FastAPI
      • Conducted groundbreaking research on Large Language Models (LLM) for news summarization
  • 👨‍💻 Full-Stack Developer @ Stackeo (September 2020 - March 2022)

    • Projects Completed:
      • Built a SaaS solution for IoT fleet management
      • Led front-end development using React and TypeScript
      • Contributed to back-end development using Python and Flask
      • Successfully implemented Agile methodologies (Scrum, Kanban) for project management

💻 Notable Projects: Some of my notable projects include:

  • 📈 Stock Price Prediction using LSTM
  • 🤖 Image Classification using Convolutional Neural Networks
  • 🔍 Customer Segmentation using K-Means Clustering

💬 Let's talk about Machine Learning: I believe that Machine Learning will play a crucial role in shaping the future, and I am excited to be a part of this revolution. If you have any questions or ideas on ML, let's have a chat! 😊

My Skills

My weekly Waka stats

TypeScript   32 hrs 42 mins  ██████████████████████▒░░   89.41 %
Python       1 hr 22 mins    █░░░░░░░░░░░░░░░░░░░░░░░░   03.77 %
Prisma       33 mins         ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.52 %
Markdown     30 mins         ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.41 %
Bash         30 mins         ▒░░░░░░░░░░░░░░░░░░░░░░░░   01.41 %

Robin's Projects

ai_research icon ai_research

This GitHub repo showcases my AI skills with computer vision and reinforcement learning projects. Detailed documentation and code provided.

ainomy icon ainomy

AiNomy is a tool that helps doctors detect diseases and anomalies.

boilerplate-ml-pipeline icon boilerplate-ml-pipeline

A modular and scalable machine learning pipeline system, showcasing integration with BERT and the Rotten Tomatoes dataset. Designed for flexibility, reproducibility, and end-to-end workflow management.

fancy-macbook-app icon fancy-macbook-app

Fancy Macbook App allows you to specifically select the applications included in the brew and gives the ready terminal command to install on your mac through these selected applications.

real-time-person-background-removal icon real-time-person-background-removal

This repository contains a Python project for real-time person background removal using YOLO (You Only Look Once) models and OpenCV. The project enables live video feed processing to identify and segment individuals in real-time, providing a seamless experience for applications requiring precise person detection.

streamlit-annotation-tools icon streamlit-annotation-tools

Streamlit Annotation Tools is a Streamlit component that gives you access to various annotation tools (labeling, highlighting, etc.) for text data.

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