AI & ML Engineer | NLP Specialist | Computer Vision | Autonomous Systems

I build intelligent systems that push the boundaries of Natural Language Processing, Computer Vision, and autonomous computing. Specializing in transformer architectures, multi-agent systems, and production-ready ML pipelines.

• 🤖 NLP & LLMs — Document processing, entity recognition, RAG systems, multilingual NLP
• 👁️ Computer Vision — Medical imaging, Vision Transformers, efficient deep learning
• 🚁 Autonomous Systems — Fleet optimization, pathfinding, real-time simulation
• 🔧 ML Engineering — Scalable pipelines, deployment, optimization

Languages & Frameworks:

ML & NLP:

Deployment & Tools:

End-to-end AI system for multi-drone fleet simulation with pathfinding, collision avoidance, and anomaly detection. Features real-time visualization and optimization algorithms.

Tech: Python, Simulation, Pathfinding, Streamlit | Status: ⭐ Production-Ready

Neural NLP pipeline for Urdu language news processing. Includes text classification, entity recognition, and intelligent summarization using transformer models.

Tech: NLP, Transformers, Hugging Face, Urdu Language | Status: Complete

Retrieval-Augmented Generation (RAG) pipeline combining semantic search with LLMs for intelligent Q&A over Urdu news documents.

Tech: RAG, LLMs, Vector DB, Semantic Search | Status: Active Development

Medical imaging AI system using Vision Transformers for pneumonia detection from chest X-rays. Achieves 94.2% accuracy with efficient inference.

Tech: Computer Vision, Vision Transformers, Medical AI, TensorFlow | Status: Complete

Autonomous agent for automated website accessibility auditing against WCAG 2.1 standards. Generates detailed reports and remediation guidance.

Tech: Web Automation, Accessibility, Python, Agents | Status: Ongoing

I'm always interested in discussing ML, AI applications, or potential collaborations.

• 📧 Email:munaxa.tm@gmail.com
• 🔗 LinkedIn:Munaza Tariq
• 🐙 GitHub:@munazat

• Transformer-based architectures and efficient vision models
• Multi-agent systems for autonomous decision-making
• Production ML pipelines and deployment
• Multilingual NLP and language-specific models