- 🎓 BSc Artificial Intelligence — Anglia Ruskin University, Cambridge (2026)
- 🔭 Currently building AI projects in Computer Vision & NLP
- 🤖 Experienced with YOLOv8, ResNet50, RoBERTa, Qwen-VL
- 🌍 Based in the UK — open to AI/ML roles (remote, hybrid, on-site)
- 💼 Former AI Intern @ RESOLVE, NUST — built a document validation system using Vision-Language Models
- 📫 Reach me at ertaza.manzoor99@gmail.com
|
🔬 Breast Cancer Cell MoA Classification Deep learning framework to classify cancer cell fluorescence microscopy images by mechanism of action using ResNet50 transfer learning on the BBBC021 dataset.
|
🎯 Object Detection App Real-time object detection web app using YOLOv8n capable of detecting 80 COCO object classes from uploaded images with bounding boxes, confidence scores, and NMS.
|
|
💬 Sentiment Analysis Dashboard NLP dashboard powered by Cardiff NLP's twitter-roberta-base-sentiment-latest model. Supports single text and batch CSV analysis with real-time confidence scores.
|
🧾 AI Document Validation System (Professional Project — RESOLVE, NUST) Built an AI-powered document validation system using the Qwen-VL Vision-Language Model during my AI internship. Supervised by Dr. Usman Qayyum, Director of AI.
|
Languages
AI & Deep Learning
Tools & Platforms
Open to AI/ML, Computer Vision, and Data Science roles across the UK
