Muhammad ali Usman
NUST
· 2024
Email
maliusman8330@gmail.com
Phone
03497843469
LinkedIn
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GitHub
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Academic
Program
BE Software Engineering
CGPA
3.29
Year
2024
Education
SEECS
Address
Islamabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Computer vision, python, Data handling, Reactjs, Tensorflow, scikit-learn, keras, pytorch, Aws, regex, numpy, pandas, ocr, Neural Networks, LLMs
Interests / quote
As an undergraduate software engineering student, I'm passionate about Artificial Intelligence and Machine Learning. I'm eager to gain hands-on experience in AI/ML and prioritize skill improvement and growth over any kind of compensation or money. Seeking a position to contribute to AI/ML field and further enhance my expertise.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Muhammad ali Usman Details Technical Skills Soft Skills Reference Cell: 03497843469 Email: maliusman8330@gmail.com Address: Islamabad , Pakistan Computer vision Specialization in python Data handling Python, keras Reactjs Tensorflow, scikit-learn Aws, regex numpy, pandas, ocr Tensorflow, keras, pytorch Teamwork, flexibility Attention to detail Flexibility and adaptability Quick learner Time management To be furnished upon request. Professional Profile As an undergraduate software engineering student, I'm passionate about Artificial Intelligence and Machine Learning. I'm eager to gain hands-on experience in AI/ML and prioritize skill improvement and growth over any kind of compensation or money. Seeking a position to contribute to AI/ML field and further enhance my expertise. Education BE Software Engineering School of Electrical Engineering and Computer Science , 3.29 Intermediate in Pre-Engineering Govt. Post Graduate College Rajanpur , 1000/1100 (2020) Internship Experience Projects Future Project: Personalized Learning Experience Using LLMs in Higher Education For FYP, we will be developing a system for students using LLMs which will aid them in personalized learning. Bike Usage Prediction Using Neural Networks to predict intensity of bike usage in a city based on weather conditions, time of day, holiday schedules etc. Utilized techniques such as data cleaning and feature engineering. Predicting Student Performance in Online Learning Environments A predictive model to understand the factors that influence student performance in an online learning environment. Predicts the probability of a student receiving a grade of B or above. Significant variables were identified to get managerial insights. Predicting Singapore HDB Flat Resale Prices A predictive model to estimate the resale price of HDB flats in Singapore. Through thorough data analysis and evaluation of various machine learning models, a suitable model was selected and trained to predict the resale prices of flats.
AI enrichment
Muhammad ali Usman is a Software Engineering undergraduate with a 3.29 CGPA specializing in AI, Machine Learning, and Computer Vision. He possesses practical experience in Python-based data analysis and model development through multiple academic projects involving neural networks and predictive modeling.
Skills (AI)
["Python", "TensorFlow", "Keras", "PyTorch", "Scikit-learn", "Pandas", "NumPy", "ReactJS", "AWS", "Computer Vision", "Machine Learning", "Data Handling", "OCR", "Regex"]
Status: ai_done