MOHD SHAHBAZ KHAN

Aspiring Machine Learning Engineer | AI/ML Developer
New Delhi, IN.

About

Highly motivated Computer Engineering student with a strong academic record (8.5/10 SPI) and practical experience in Machine Learning and Deep Learning. Developed multiple AI-driven projects, including a ~90% accurate heart attack prediction model and a CNN-based DeepFake detection system. Eager to leverage strong analytical, programming, and problem-solving skills to contribute to innovative AI/ML initiatives in a dynamic tech environment.

Work

Google Developer Student Club (GDSC)
|

Core ML Lead

New Delhi, Delhi, India

Summary

Led machine learning initiatives within the Google Developer Student Club, fostering skill development and project execution.

Highlights

Spearheaded and managed machine learning initiatives, guiding club members through project development and skill enhancement.

Organized workshops and collaborative sessions to build practical ML applications, contributing to community learning and engagement.

Volunteer

Jamia Millia Islamia
|

Class Representative (CR)

New Delhi, Delhi, India

Summary

Served as Class Representative, demonstrating leadership and academic excellence within the B.Tech program.

Highlights

Selected as Class Representative in the second year for achieving the highest marks in the first year, demonstrating strong academic performance and leadership potential.

Facilitated communication between students and faculty, addressing academic concerns and fostering a collaborative learning environment.

Education

Jamia Millia Islamia, New Delhi
New Delhi, Delhi, India

Bachelor of Technology (B.Tech)

Computer Engineering

Grade: 8.5/10 SPI (Avg till 6th Sem)

Courses

Design and Analysis of Algorithms

Operating Systems

Object-Oriented Programming

Database Management Systems

Computer Networks

Jamia Millia Islamia, New Delhi
New Delhi, Delhi, India

Senior Secondary (Class 12)

Science

Grade: 91.2%

Jamia Millia Islamia, New Delhi
New Delhi, Delhi, India

Secondary (Class 10)

General Studies

Grade: 96.71%

Awards

1st Rank in B.Tech (1st Year)

Awarded By

Jamia Millia Islamia, Faculty of Engineering

Achieved 1st rank among all departments in the Faculty of Engineering during the first year of the B.Tech program, demonstrating exceptional academic performance.

2nd Prize in Inter-Hostel Quiz Competition

Awarded By

Jamia Millia Islamia

Awarded 2nd Prize in the Inter-Hostel Quiz Competition, showcasing strong general knowledge and effective teamwork.

Hostel Football Team Representation

Awarded By

Jamia Millia Islamia

Represented the hostel football team in an inter-hostel tournament, demonstrating teamwork and athletic engagement.

Top 3% in JEE Mains

Awarded By

National Testing Agency (NTA)

Ranked in the top 3% nationally in the JEE Mains examination, demonstrating superior aptitude in engineering entrance examinations.

4th Rank in Board Examination (Class 12)

Awarded By

Jamia Millia Islamia Board

Achieved 4th rank in the Jamia Millia Islamia Board Examination for Class 12, showcasing consistent high academic standing.

1st Rank in Board Examination (Class 10)

Awarded By

Jamia Millia Islamia Board

Secured 1st rank in the Jamia Millia Islamia Board Examination for Class 10, reflecting outstanding scholastic achievement.

Languages

English
Hindi

Certificates

Introduction to Artificial Intelligence

Issued By

Udemy

Cloud Computing

Issued By

Udemy

Data Analysis and Data Visualization with Microsoft Copilot

Issued By

Udemy

Skills

Programming Languages

Python, C, C++, JavaScript, Bash (Linux scripting).

Machine Learning & Deep Learning

Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Keras, OpenCV, CNN, NLP, Data Analysis, Logistic Regression, Random Forest, SVM, Librosa.

Web Development

HTML, CSS, React.js, Node.js, Express.js, MongoDB, Full-Stack Development.

Databases & Cloud

Firebase, Relational Database (MySQL), Cloud Services, Deployment, Management.

Operating Systems & Tools

Linux, Shell Scripting, Process Management, Debugging.

Core Computer Science

Design and Analysis of Algorithms, Operating Systems, Object-Oriented Programming, Database Management Systems, Computer Networks.

Professional Skills

Problem Solving, Self-learning, Presentation, Adaptability, Teamwork, Leadership.

Interests

Sports

Football.

Intellectual Pursuits

Quizzing.

Projects

Music Genre Classification

Summary

Implemented an audio classification project to categorize music genres using advanced ML/DL models and feature extraction techniques.

Alzheimer's Prediction

Summary

Developed an ML model for the early prediction of Alzheimer's disease using patient-specific data.

DeepFake Detection

Summary

Engineered a CNN-based system to accurately detect manipulated DeepFake videos and images, combating digital misinformation.

Heart Attack Classification using Machine Learning

Summary

Developed and implemented machine learning models to predict heart attack risk based on comprehensive clinical features.