Areeba Fatah
Machine Learning Engineer building AI that ships
I work on AI for real-world data — pathology slides, CT scans, CCTV footage and design layouts — with over a year of industry ML at Orydex.
Core toolkit
- Python
- PyTorch
- Computer Vision
- Large Language Models
- OpenAI Agents SDK
- LangGraph
- RAG
- OpenCV
- Docker
- MLflow
- Django
- scikit-learn
What I do
From gigapixel slides to autonomous agents
Focused work across medical AI, vision systems and LLM tooling — the same areas highlighted on my LinkedIn.
Medical AI
Biomarker prediction from whole-slide histopathology, attention-based MIL, melanoma and aneurysm detection.
Computer Vision & GenAI
Detection, re-identification, segmentation and diffusion-based design — from CCTV analytics to AI interior remodelling.
Agentic AI & LLMs
Multi-agent pipelines, RAG, LangGraph workflows and voice agents built on the OpenAI SDK, OpenRouter and Groq.
Selected work
Featured case studies
Experience
ML experience at Orydex
From July 2025 to September 2026 I worked across healthcare AI, computer vision and agentic products — taking research ideas into working pipelines.
Junior Machine Learning Engineer
Orydex · Full-time · Remote
- Built a multi-agent ML automation pipeline with the OpenAI Agents SDK.
- Cancer biomarker prediction (HER2, BRCA1/2, ER, PR) from histopathology WSIs.
- Improved pathology baselines with multi-task learning; extended to colorectal cancer.
- Kaggle medical imaging: melanoma (~0.90 AUC) and RSNA aneurysm detection.
BS Artificial Intelligence
FAST NUCES · Islamabad
- CGPA 3.8 · Magna Cum Laude · Dean's List 7× · Rector's List · 3 medals
Let's build
Have a problem that needs intelligent solving?
I'm open to Machine Learning Engineer roles and collaborations in medical AI, computer vision and LLM systems.