AYUSH R NAIR

Computer Science Engineering Student | AI/ML & Computer Vision Specialist
Rohini, IN.

About

Highly motivated and results-driven Computer Science Engineering student with a strong foundation in Artificial Intelligence, Machine Learning, and Computer Vision. Proven ability to develop innovative solutions, including AI-driven medical record management, women's safety analytics, and deepfake detection systems. Eager to leverage strong programming skills, analytical thinking, and a passion for technology to contribute to cutting-edge projects and drive impactful advancements.

Education

Delhi Technological University

B. Tech

Computer Science Engineering

Grade: 9.78 CGPA

Salwan Public School

12th CBSE Board

Higher Secondary Education

Grade: 10th CBSE Board: 96.6% | 12th CBSE Board: 96%

Awards

10 SGPA in 3rd Semester

Awarded By

Delhi Technological University

Attained a perfect 10 SGPA in the 3rd Semester, reflecting strong academic performance.

Science Stream Topper

Awarded By

CBSE Board

Recognized as the Science Stream Topper in the 12th CBSE Board with 96% aggregate.

JEE Mains & Advanced Achievement

Awarded By

Joint Entrance Examination (JEE)

Achieved 99.219%ile in JEE Mains and All India Rank 8820 (CRL) in JEE Advanced.

Silver Medal - Akhil Bharatiya Hindi Olympiad

Awarded By

Akhil Bharatiya Hindi Olympiad

Awarded a Silver Medal at the District Level in the Akhil Bharatiya Hindi Olympiad.

Department Rank 3

Awarded By

Delhi Technological University

Achieved Department Rank 4 with a CGPA of 9.78, demonstrating academic excellence.

Certificates

Machine Learning (A-Z) Course

Issued By

Online Course Provider

Deep Learning and Computer Vision Course

Issued By

Online Course Provider

Skills

Programming Languages

Python, MySQL, C, C++, Java, HTML, CSS, JavaScript.

Frameworks and Libraries

Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow, OpenCV, Django, NLTK.

Technologies

Web Development, Machine Learning, Computer Vision, Natural Language Processing (NLP), Optical Character Recognition (OCR).

Tools

MySQL, Excel, PowerPoint, Canva.

Platforms

Jupyter Notebook, Visual Studio Code.

Soft Skills

Teamwork, Communication Skills, Analytical Thinking, Problem-Solving.

Projects

Sehatify - AI Driven Medical Record Manager

Summary

An AI-driven health record management system designed to enhance efficiency in clinical workflows and improve patient-doctor communication.

FemSecure - Women Safety Analytics

Summary

An AI-driven surveillance system for real-time gender detection and SOS gesture recognition to improve crowd safety monitoring.

Employee Management System

Summary

A comprehensive employee management system featuring biometric authentication, AI-powered query resolution, and automated performance reporting.

DeepFake Detector

Summary

A CNN-based model developed to classify real versus deepfake images with high precision.