AI/ML Engineer focusing in Computer Vision, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and Multimodal AI systems. I design and deploy end-to-end machine learning and LLM-powered pipelines, optimize models for production inference, and architect scalable solutions across domains including aerial defect detection, real-time analytics, and transformer-based document intelligence.
Building AI systems across Computer Vision, NLP, and Intelligent Automation.
AI-powered clinical triage system designed to assist Urdu and English speaking patients through intelligent symptom analysis and healthcare guidance. The system combines NLP, LLM capabilities, and structured medical reasoning to provide accessible preliminary health support.
Key Highlights
- Bilingual Urdu & English patient interaction
- AI-powered symptom analysis
- Clinical triage workflow
- LLM-based healthcare assistance
- Structured medical response generation
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AI-powered scholarship intelligence platform that automates global scholarship discovery through web scraping, ETL pipelines, and analytics.
Key Highlights
- Multi-threaded scraping architecture
- Automated ETL processing pipeline
- Streamlit analytics dashboard
- Scholarship trend intelligence
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Computer vision system for automated infrastructure inspection using drone imagery. Detects defects including cracks, potholes, and corrosion using YOLOv8 with real-time inference.
Key Highlights
- Multi-class defect detection
- Image & video inference
- Real-time deployment pipeline
- Structured inspection analytics
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Real-time traffic intelligence system combining object detection and tracking for continuous video stream analytics.
Key Highlights
- YOLOv8 object detection
- SORT-based tracking
- Traffic analytics generation
- Lightweight deployment
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NLP automation system using transformer models for sentiment analysis, intent understanding, and controlled response generation.
Key Highlights
- Sentiment analysis engine
- Intent classification
- Automated response generation
- Controlled inference workflow
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Document understanding pipeline that extracts structured information from PDFs and scanned documents using OCR and intelligent parsing workflows.
Key Highlights
- OCR extraction pipeline
- PDF/image processing
- Table extraction
- Structured JSON outputs
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Lightweight NLP system demonstrating transformer-based named entity recognition with explainable outputs and visualization.
Key Highlights
- BERT-based NER inference
- Entity visualization
- CPU optimized execution
Core AI & Deep Learning Certifications
- AI Engineering Professional Certificate (13 Courses)
- Deep Learning with PyTorch, Keras & TensorFlow (6 Courses)
- Generative AI: Foundational Models for NLP & Language Understanding
- Data Analysis & Visualization with Python
- Machine Learning Specialization (3 Courses)
- Deep Learning Specialization (5 Courses)
Hamayl Zahid · AI / ML Engineer · Bahawalpur, Pakistan