HARSHIT KUMAR SINGH

Computer Science Engineering Student | AI/ML & Software Development
Greater Noida, IN.

About

Highly motivated Computer Science Engineering student specializing in Artificial Intelligence and Machine Learning, with a strong academic background and practical experience in software development. Possessing a robust foundation in data structures, algorithms, and system design, with proficiency in Python, Java, and JavaScript. Eager to apply technical skills in AI/ML and full-stack development to drive innovation within a dynamic tech environment.

Education

Noida Institute of Engineering and Technology
Greater Noida, Uttar Pradesh, India

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B.Tech

Computer Science (AI & ML)

Grade: 7.94/10.0

Courses

Data Structures & Algorithms

DBMS

OOP

Operating Systems

Computer Networks

Basanti Public School
N/A, N/A, India

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High School Diploma

Intermediate (12th)

Grade: 71.2%

Basanti Public School
N/A, N/A, India

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High School Diploma

Matriculation (10th)

Grade: 77.17%

Awards

Vultr Cloud Hackathon Finalist

Awarded By

Vultr Cloud

Recognized as a finalist in the Vultr Cloud Hackathon, demonstrating exceptional problem-solving abilities and technical prowess in a competitive development environment.

Certificates

Getting Started with AI using IBM Watson

Issued By

IBM

Building AI Powered Chatbots Without Programming

Issued By

IBM

Introduction to Artificial Intelligence (AI)

Issued By

IBM

Python for Data Science, AI & Development

Issued By

IBM

Skills

Programming Languages

Python, Java, JavaScript, SQL, C.

AI/ML

TensorFlow, scikit-learn, NLP, Computer Vision, Naïve Bayes, Random Forest, Decision Tree, ResNeXt, LSTM.

Frameworks & Libraries

React.js, Node.js, Django, Spring Boot.

Tools & Databases

Git, AWS, MongoDB, MySQL, VS Code, Postman, Jupyter Notebook.

Core Concepts

Data Structures & Algorithms, DBMS, OOP, Operating Systems, Computer Networks, System Design.

Soft Skills

Communication, Team Collaboration, Problem Solving, Time Management.

Projects

Deepfake Detection Using Deep Learning

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Summary

Built a full-stack web application employing deep learning models to identify manipulated videos with high precision, focusing on real-time detection and robust media classification.

Disease Prediction Based on Symptoms

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Summary

Developed a robust predictive model for disease classification based on user-reported symptoms, aiming to enhance early diagnosis and healthcare accessibility using various machine learning algorithms.