Hi, I'm Lakshya

Lakshya Garg

About

Hi, I'm Lakshya Garg, a Full Stack Developer and Computer Engineering student passionate about building scalable web applications and AI-powered solutions. I work with React, Node.js, MongoDB, JavaScript, Python, SQL, and C++. I love learning, solving problems, and creating products that make an impact.

Coding Profiles

Education

GL Bajaj Institute of Technology and Management

Bachelor of Technology - Computer Science and Engineering (GPA: 8.61)

Courses: Data Structures & Algorithms, Operating Systems, Database Management Systems, Object-Oriented Programming, Computer Networks, Software Engineering, AI, Machine Learning.

Oct 2023 - July 2027

Pragyan Public School

Senior School Certificate Examination (CBSE XII) - 94.2%

Apr 2020 – Mar 2022

RPS Public School

Higher School Examination (CBSE X) - 94.6%

Apr 2018 – Mar 2020

Check out my Projects

I've built a range of frontend, backend, and full-stack applications that focus on clean design, functionality. Here are some of my favorite projects.

MockMate-AI - Personalized Interviewer

MockMate-AI - Personalized Interviewer

Designed and developed a scalable full-stack web application using React.js and Node.js that enables candidates to practice AI-driven interviews through realistic conversational interactions, dynamic Gemini API question generation, and real-time evaluation feedback.

React.jsNode.jsGoogle Gemini APIREST APITailwindCSS
FixMyCity – AI Civic Issue Reporting Platform

FixMyCity – AI Civic Issue Reporting Platform

Designed and developed a scalable full-stack civic issue reporting platform using React.js, Google Gemini API, and Tailwind CSS. Implemented secure authentication, role-based authorization, AI issue categorization, and real-time complaint tracking with relational database integration.

React.jsGoogle Gemini APITailwind CSSNode.jsPostgreSQL
EmotionSense – Real-Time Facial Emotion Recognition

EmotionSense – Real-Time Facial Emotion Recognition

Developed a CNN-based facial emotion recognition system to classify emotions (happy, sad, angry, fear, surprise) from real-time webcam input with 83% accuracy using Python, TensorFlow, and OpenCV.

PythonTensorFlowOpenCVCNNDeep Learning

GitHub Contributions

Skills & Technologies

C++JavaPythonJavaScriptReact.jsNode.jsHTMLCSSTailwind CSSSQLMySQLPostgreSQLGitGitHubLinuxVS CodeChatGPTGemini APIClaudeDSAOOPDBMSOperating SystemsComputer NetworksMachine Learning
Contact

Get in Touch

Have a question or an opportunity to discuss? Just shoot me a dm on twitter or email me directly and I'll respond whenever I can.