Skip to content
View maroofiums's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report maroofiums

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
maroofiums/README.md

Typing SVG


Hi there, I'm Maroof

I am an AI/ML developer focused on building strong foundations in mathematics, backend systems, and applied machine learning. My goal is to understand how core concepts in math and computer science translate into real-world applications and to use that understanding to build practical, efficient, and scalable systems. I spend most of my time learning and strengthening fundamentals rather than rushing into advanced tools, because I believe strong basics lead to long-term growth. I am currently improving my skills in Python programming, data structures, and problem-solving while also studying key mathematical areas like linear algebra, probability, and calculus, which are essential for understanding machine learning models. Alongside this, I am learning backend development concepts such as APIs, databases, and system design to understand how full applications are built and deployed. In machine learning, I am exploring both theory and implementation by working on small projects, experimenting with models, and learning how training and evaluation processes work. My interest lies in connecting all these areas math, machine learning, and backend engineering to build complete, real-world AI systems. My long-term goal is to become a skilled AI engineer who can design, develop, and deploy intelligent solutions. I am continuously learning, practicing, and improving every day with consistency and discipline.

  • 🎓 Studying Software Engineering at MITI (expected graduation: Oct 2026)
  • 🔭 Currently building Velox and progressing through my ML roadmap
  • 🧠 Currently learning Computer Vision, DSA, MLOps, and Reinforcement Learning
  • 🌍 Based in Karachi, Pakistan
  • 💬 Ask me about building AI pipelines, RAG systems, and scalable FastAPI backends
  • 📫 Reach me at maroof96965@gmail.com
  • 🖥️ Portfolio maroofiums.vercel.app


📌 About Me

  • 🌱 I'm currently learning Machine Learning, Deep Learning, and System Design
  • 👯 I'm looking to collaborate on real-world AI/ML and FastAPI backend projects
  • 🤝 I'm looking for help with scalable ML systems and production-level deployment
  • 🚀 I enjoy building end-to-end AI systems from data to deployment

🧠 My Focus Areas

  • Machine Learning & Deep Learning
  • Backend Development (FastAPI)
  • MLOps & Model Deployment
  • Data Science & Analytics
  • Open Source Contribution

📊 GitHub Stats


📈 Contribution Activity


🔥 Streak Statistics


📅 Contribution Calendar


🛠️ Languages & Tools

💻 Programming Languages


🎨 Frontend


⚙️ Backend


📊 Data Science & ML


🤖 Deep Learning / AI


📈 BI / Analytics


🗄️ Databases


☁️ DevOps & Cloud


🧰 Tools


🔗 Connect With Me


Pinned Loading

  1. Movies_Recommended_System Movies_Recommended_System Public

    A hybrid movie recommendation system that combines content-based filtering (overview, genres, tagline) with popularity and vote average to provide smarter, personalized movie suggestions. The app d…

    Jupyter Notebook

  2. Sentiment-Dashboard Sentiment-Dashboard Public

    A Streamlit dashboard that performs real-time and batch sentiment analysis using pretrained Hugging Face Transformers. Users can analyze single texts or CSV files and explore results via interactiv…

    Jupyter Notebook

  3. News-Topic-Classification-using-BERT News-Topic-Classification-using-BERT Public

    Fine-tuned a BERT model to classify news headlines into World, Sports, Business, and Science & Technology. Preprocessed AG News dataset, trained the model, and achieved ~93.7% accuracy. Deployed vi…

    Jupyter Notebook

  4. Fake-News-Detection Fake-News-Detection Public

    Detect whether news articles are REAL or FAKE using a pretrained transformer model. Deployed as a Streamlit app for real-time predictions with confidence scores. No training required, works on any …

    TypeScript

  5. Hate-Speech-Detection Hate-Speech-Detection Public

    A real-time NLP application that classifies text into Hate Speech, Offensive, or Neutral categories using a pretrained transformer model with zero-shot classification. The system requires no task-s…

    Jupyter Notebook

  6. AI-Resume-Screening-Platform AI-Resume-Screening-Platform Public

    A production-ready full-stack platform for semantic resume screening using Django, DRF, React, and AI embeddings. Features resume parsing, candidate-job matching, JWT authentication, role-based acc…

    TypeScript