
Narmeen Bilal
@narmeenbilal
I build and deploy LLM-powered applications, RAG tools, and machine learning products.
What I'm looking for
I've built and deployed 11 Hugging Face Spaces and two models, including a RAG-based document reader, VeriBlog AI, and a Groq API-powered personalized roadmap generator. My Neuro-AI Brain Tumor Detector used a VGG16-based CNN to classify four MRI tumor categories with 92% accuracy.
At Developers Hub Corporation, I prototyped and trained machine learning models in Python, deployed interactive AI applications with Gradio and Streamlit, and integrated LLM-driven features through the Groq API. I also bring front-end experience from HUM News, where I built responsive components and resolved UI issues using HTML, CSS, and Bootstrap.
Experience
Work history, roles, and key accomplishments
AI/ML Intern
Developers Hub Corporation
Apr 2026 - Jun 2026 (2 months)
Prototyped and trained machine learning models in Python using NumPy, Pandas, and Scikit-learn in Google Colab, integrating the Groq API for LLM-driven features. Deployed models to Hugging Face Spaces and built interactive applications with Gradio and Streamlit.
Education
Degrees, certifications, and relevant coursework
International Islamic University Islamabad
Bachelor of Computer Science, Computer Science
2021 - 2025
Pursued a Bachelor of Computer Science degree, focusing on computer science fundamentals and applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/narmeen-hubSalary expectations
Job categories
Skills
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