Maaz Mahboob

B.Tech Artificial Intelligence Graduate | AI/ML Engineer
Street No-1 ,Dhorra, 202001, Aligarh, India.

About

Highly skilled B.Tech Artificial Intelligence graduate (May 2025) with a strong foundation in Machine Learning, Deep
Learning, Computer Vision, and Natural Language Processing. Demonstrated ability to deliver high-impact AI/ML
projects, evidenced by achieving 71.3% AP50 in medical imaging and 98.25% accuracy in predictive modeling.
Proficient in Python, TensorFlow, PyTorch, and AWS, with hands-on experience in large-scale data preprocessing,
model optimization, and deployment. Eager to leverage advanced technical skills and contribute to innovative,
production-ready solutions in an AI/ML Field

Work

AMU Machine Learning Club
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Publicity Executive

Aligarh, Uttar Pradesh, India

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Summary

Directed marketing and event initiatives for the AMU Machine Learning Club, driving higher member participation and engagement. Organized impactful AI/ML workshops that fostered hands-on learning, collaboration, and technical skill growth among participants

Education

ZHCET, Aligarh Muslim University
Aligarh, Uttar Pradesh, India

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B.Tech

Artificial Intelligence

Grade: 8.22/10

Certificates

Data Science Masters

Issued By

PW Skills

DBMS Course

Issued By

Scaler

Neural Networks and Deep Learning

Issued By

Coursera

Machine Learning Specialization

Issued By

Coursera

Skills

Languages

Python, SQL, C/C++, MySQL.

Frameworks

TensorFlow, PyTorch, Keras, Scikit-Learn, OpenCV, MediaPipe.

Data Science

Pandas, NumPy, Matplotlib, Seaborn, Tableau, Data Preprocessing, Feature Engineering, Data Augmentation.

Cloud & Deployment

AWS, Google Colab, PyCharm, Jupyter Notebook, REST API, MLOps.

Core Competencies

Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Predictive Modeling, Transfer Learning, Model Optimization, Deployment.

Projects

Chest X-ray Abnormality Detection | Medical Imaging & Instance Segmentation

Summary

Developed an advanced AI model for chest X-ray abnormality detection and instance segmentation, specifically designed for clinical realism and efficiency in medical imaging.

Word-Level American Sign Language Recognition | Computer Vision & NLP

Summary

Created an innovative multi-stream model for accurate word-level American Sign Language recognition, integrating computer vision and natural language processing techniques.

Used Car Price Prediction | Machine Learning Regression

Summary

Developed a robust machine learning regression model for predicting used car prices, focusing on high accuracy and scalability through an automated workflow.