Tavleen Kaur

Tavleen Kaur

CSE@TIET’29

Farīdkot, IndiaSoftware Development
4roles
41skills
4education
4credentials

About

Hi! I’m Tavleen, a passionate Computer Science student with a keen interest in Artificial Intelligence, Data Structures, and problem-solving. I enjoy learning new technologies and applying them to build projects that make an impact.Currently, I am: • Strengthening my DSA and Java skills to excel in competitive programming and coding interviews. • Exploring AI/ML projects to gain hands-on experience.(Made a fun linear regression model) • Also started my web development journey with HTML CSS and javascriptLet’s connect🚀

Experience

Core Member

Helix TIET

2 mos · Patiala

Member

Google Developer Groups TIET

6 mos · Patiala, Punjab, India

Member

Creative Computing Society

6 mos · Patiala, Punjab, India

Member

Thapar ACM Student Chapter

7 mos · Patiala, Punjab, India

Education

Thapar Institute of Engineering & Technology

Bachelor of Technology - BTech, Computer Science

Aug 2025

DAV Schools Network

Thapar Institute of Engineering and Technology

Bachelor of Computer Science and Engineering, Computer Science and Engineering

Aug 2025 - Present

Current SGPA: 9.73

DAV Public School

CBSE Class 12, PCME with Information Practices

Till May 2025

Passing percentage: 95.4%; Class 10 passing percentage: 98%

Skills

MarketingProgramming LanguagesPublic RelationsComputer Science EducationMachine Learning AlgorithmsComputer VisionCoding PracticesJavaScript FrameworksDigital MarketingComputer Assisted Language LearningSoftware DevelopmentComputer SciencePrompt EngineeringObject-Oriented Programming (OOP)Computer EngineeringData StructuresProblem SolvingGitTailwind CSSCascading Style Sheets (CSS)ArduinoHTMLC (Programming Language)Student ServicesHindiEnglishJavaPython (Programming Language)PandasSQLMySQLPythonCCSSJavaScriptVS CodeReactData Structures and AlgorithmsMachine LearningYOLOFrontend Development

Projects

HackTU - CRISP

Collaborated in a 5-member team to train a YOLO-based computer vision model for object detection tasks, assisted in dataset preparation and model training pipeline using Python, developed JavaScript functionality for frontend features including probe movement logic, and built and tested the ML pipeline.