B.E. in Computer Engineering
LDRP-ITR, Gandhinagar
CGPA: 8.33/10 | 2022–2026 (Percentage: 78.3%)
$whoami
Passionate about building intelligent systems and
extracting insights from data.
01_about
I'm a Computer Engineering student focused on AI and Data Science, building practical projects with machine learning, deep learning, and LLMs. Currently exploring Data Engineering while sharpening my skills one project at a time.
LDRP-ITR, Gandhinagar
CGPA: 8.33/10 | 2022–2026 (Percentage: 78.3%)
Tapasya Integrated School, Gujarat Board
Percentage: 80% | 2022
Tools and technologies I work with
02_projects
Some of my recent work in AI and Data Science
Note: projects are deployed on free-tier platforms (Vercel, Render, Streamlit) and may take 40–90 seconds to load initially.
01
BookMyDoc is a web-based doctor appointment system featuring secure QR code–based appointment verification, email notifications, and machine learning models for disease prediction—making healthcare booking smart, reliable, and efficient.
02
The Car Price Prediction web app estimates vehicle prices using a Random Forest model (~90% accuracy) based on features like model, age, and mileage, built with Flask and Streamlit for interactive results.
03
Full-stack career improvement platform with smart job matching, AI interviewer, resume builder, portfolio deployment via Vercel API, and quiz practice. Features automated job scraping and real-time updates.
04
Natural language interface for SQL databases using LLMs. Users can query databases using plain English and get structured responses.
05
Deep learning model using CNN and LSTM to generate captions for images. Built with TensorFlow, Keras, and pre-trained ResNet models.
06
LSTM-based web application for next-word prediction with attention mechanisms, trained on Shakespeare's Hamlet dataset.
03_experience
My journey in machine learning and data science
During my remote internship, I worked on machine learning tasks related to restaurant data. I built models for predicting restaurant ratings, recommending restaurants based on user preferences, and classifying cuisines. These projects improved my skills in data analysis and ML model development.
04_certifications
Professional certifications and achievements
Krish Naik — Udemy
Completed: Feb 2025
NPTEL
Jan 2024 – Mar 2024
HackerRank
Completed: Jan 2025
HackerRank
Completed: Dec 2023
05_contact
Let's discuss opportunities and collaborations