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Muneeba Zahir

@muneebazahir

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I'm building efficient offline AI systems for edge devices and real-world deployment.

Pakistan

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What I'm looking for

I'm seeking an AI/ML Engineer opportunity where I can apply machine learning, NLP, LLM deployment, Edge AI, and model optimization skills to practical, production-oriented systems and innovative AI products.

I'm building an offline AI tutoring assistant for low-resource edge devices, combining TinyLLaMA, Whisper, LoRA fine-tuning, and a real-time voice pipeline without internet dependency.

My work includes 4-bit GGUF quantization that reduces inference latency by approximately 40% and memory footprint by over 60% for edge deployment. I've also built a diabetes risk prediction pipeline with Random Forest classification, approximately 95% test accuracy, and a Streamlit application for real-time decision support.

Through my AI/ML internship at Inara Technologies, I've worked with Python, data processing, ML algorithms, deep learning, LLMs, RAG, vector databases, APIs, deployment, testing, and basic MLOps. I'm seeking an AI/ML engineering opportunity to contribute practical, resource-efficient AI products.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

Inara Technologies Pvt. Limited

Jul 2026 - Aug 2026 (1 month)

Gained hands-on experience in Python, Linux, networking, and data processing. Worked with NumPy, Pandas, ML algorithms, and data preprocessing, and explored deep learning, LLMs, and MLOps.