
Rabia Waseem
@rabiawaseem
I build machine learning and AI applications from messy data to deployed user-facing tools.
What I'm looking for
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
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
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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