I am Muhammad Uzair, a Computer Science graduate with hands-on experience in Python, NLP, machine learning, and deploying large language models. I thrive on building intelligent systems that solve real-world problems and continuously learning new techniques to improve performance and reliability. In my roles as a Research Assistant and AI Intern, I have built and fine-tuned transformer models (BERT, GPT, T5) for Urdu sentiment analysis, created retrieval-augmented generation systems for QA and MCQ generation, and developed interactive dashboards with Streamlit for model deployment. I also worked on data preprocessing, model evaluation, chatbot development, and even applied YOLO for disease detection. I enjoy collaborating with teams to turn innovative ideas into practical AI solutions.

Muhammad Uzair

I am Muhammad Uzair, a Computer Science graduate with hands-on experience in Python, NLP, machine learning, and deploying large language models. I thrive on building intelligent systems that solve real-world problems and continuously learning new techniques to improve performance and reliability. In my roles as a Research Assistant and AI Intern, I have built and fine-tuned transformer models (BERT, GPT, T5) for Urdu sentiment analysis, created retrieval-augmented generation systems for QA and MCQ generation, and developed interactive dashboards with Streamlit for model deployment. I also worked on data preprocessing, model evaluation, chatbot development, and even applied YOLO for disease detection. I enjoy collaborating with teams to turn innovative ideas into practical AI solutions.

Available to hire

I am Muhammad Uzair, a Computer Science graduate with hands-on experience in Python, NLP, machine learning, and deploying large language models. I thrive on building intelligent systems that solve real-world problems and continuously learning new techniques to improve performance and reliability.

In my roles as a Research Assistant and AI Intern, I have built and fine-tuned transformer models (BERT, GPT, T5) for Urdu sentiment analysis, created retrieval-augmented generation systems for QA and MCQ generation, and developed interactive dashboards with Streamlit for model deployment. I also worked on data preprocessing, model evaluation, chatbot development, and even applied YOLO for disease detection. I enjoy collaborating with teams to turn innovative ideas into practical AI solutions.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Intermediate
Urdu
Advanced

Work Experience

Research Assistant at SmartLab-ICUP
May 1, 2025 - September 16, 2025
Published a research paper on Urdu Sentiment Analysis using deep learning and transformer-based models. Built and fine-tuned transformer models (BERT, GPT, T5) for Urdu sentiment analysis and RAG-based systems for QA and MCQ generation. Implemented deep learning techniques with RNN, LSTM, and GRU using TensorFlow and scikit-learn for NLP solutions.
AI Intern at Greesoft Pvt
June 1, 2025 - Present
Developed interactive Streamlit dashboards for classification and regression model deployment. Performed data collection, preprocessing, and cleaning. Worked on sentiment analysis and price prediction problems. Built a small chatbot for a school app for FAQs. Implemented liver disease detection using YOLO models and contributed to an AI Resume Analyzer.

Education

Bachelor of Science in Computer Science at Islamia College University Peshawar
July 1, 2021 - January 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education