Dedicated Machine Learning practitioner with a strong foundation in AI/ML fundamentals and hands-on experience in implementing deep learning solutions. Passionate about leveraging AI to solve real-world problems, with a particular focus on Natural Language Processing and Computer Vision applications. Currently exploring the fascinating world of Large Language Models and their practical applications.
- Primary Focus: Building and fine-tuning Large Language Models for specific domains
- Research Interests: Transformer architectures, Few-shot learning, Model optimization
- Learning Path: Advanced MLOps practices, Production-grade ML systems
- Side Projects: Contributing to open-source ML projects, Experimenting with state-of-the-art models
- Implemented BART and T5 models for automatic text summarization
- Fine-tuned models on domain-specific data achieving 35% ROUGE-L score improvement
- Developed streamlined pipeline for data preprocessing and model training
- Tech stack: PyTorch, Transformers, FastAPI
- Built an object detection system using YOLOv5 architecture
- Created custom dataset and trained model achieving 82% mAP@.5
- Deployed model using Docker and FastAPI
- Implemented real-time inference optimization
- Developed BERT-based sentiment classifier for social media analysis
- Created data pipeline processing 100K+ tweets daily
- Achieved 89% accuracy on multi-class sentiment classification
- Implemented model quantization reducing inference time by 40%
- Currently Reading: "Deep Learning" by Ian Goodfellow
- Online Courses: Advanced MLOps on Coursera, Full Stack Deep Learning
- Technical Blogs: Regular contributor on Medium about ML/AI topics
- Competitions: Active participant in Kaggle competitions
- Transfer Learning & Few-shot Learning
- Natural Language Processing
- Computer Vision & Image Processing
- Model Optimization & Compression
- MLOps & Production ML Systems
📫 Contact: elansarimostapha011@gmail.com
"The best way to predict the future is to implement it" 🚀
💡 Always open to collaborating on interesting ML/AI projects and research opportunities!