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Rabia Waseem

@rabiawaseem

I build machine learning and AI applications from messy data to deployed user-facing tools.

Pakistan
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What I'm looking for

I'm looking to apply my end-to-end machine learning skills to real-world AI products, from data cleaning and model evaluation to deployment, while continuing to grow through collaborative technical work.

I've built AI applications spanning pathology image classification, debate evaluation, sentiment analysis, and retrieval-augmented chatbots.

My Tiny ConvNeXt project used Python, PyTorch, and Torchvision to classify PathMNIST images, reaching 56% test accuracy on a constrained 1,800-image dataset.

I've also built a customer-review sentiment platform with Django, NLP, SQLite, Redis, and AWS S3, plus a Pakistan History RAG chatbot using Pinecone, Groq, and Gradio.

Alongside my M.S. in Data Science research on noisy labels in graph neural networks, I teach artificial neural networks labs and mentor 100 students in Python and PyTorch.

Experience

Work history, roles, and key accomplishments

IU

Teaching Assistant

Information Technology University

Oct 2025 - Present (11 months)

Conducted laboratory sessions for Artificial Neural Networks using Python and PyTorch. Designed and graded quizzes, programming assignments, and examinations while mentoring a cohort of 100 students.

Education

Degrees, certifications, and relevant coursework

Information Technology University logoIU

Information Technology University

Master of Science, Data Science

2024 -

Grade: 3.42/4.00

Pursuing an M.S. in Data Science with a thesis on mitigating the impact of noisy labels in graph neural networks.

COMSATS Institute of Information Technology logoCT

COMSATS Institute of Information Technology

Bachelor of Science, Electronics Engineering

2004 - 2008

Grade: 2.99/4.00

Completed a B.S. in Electronics Engineering with a final year project on power line communication.

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