A modern, responsive portfolio built with Material Design, showcasing projects in Machine Learning, Deep Learning, Computer Vision, NLP, and MLOps.
Muhammad Muddasar Sabir (muddasarsabir)
AI/ML Engineer focused on building scalable, production-grade ML systems.
- Model Development, Training, Optimization
- Deep Learning and Generative AI
- Computer Vision and NLP pipelines
- End-to-End MLOps and Deployment
- Materialize CSS
- Font Awesome
- Material Icons
- Google Fonts
- PyTorch, TensorFlow, Scikit-learn
- Hugging Face Transformers
- MLflow for experiment tracking
- Docker for containerization
- Kubernetes for orchestration
- End-to-end ML pipelines from data preprocessing to deployment
- Model serving using APIs and microservices
- CI/CD integration for ML workflows
- Monitoring, logging, and performance tracking
- Data drift detection and automated retraining pipelines
- https://muddasarsabir.github.io
- https://muddasarsabir.netlify.app
- https://muddasarsabir.vercel.app
- https://muddasarsabir.pages.dev
- https://muddasarsabir.now.sh
- Computer Vision. Object detection, image classification
- NLP. Chatbots, sentiment analysis, LLM applications
- Time Series Forecasting
- Fraud Detection Systems
- Generative AI Applications
- Integrate real-time model inference APIs
- Add ML dashboards with monitoring metrics
- Showcase deployed models with live demos
- Add experiment tracking UI snapshots
git clone https://github.com/muddasarsabir/Material-Design-portfolio.git
cd Material-Design-portfolio