

I hold a B.E. in Computer Engineering (hons. Blockchain). I am passionate about coding and creating innovative solutions for complex problems. I'm a curious, quick and lifelong learner who is always eager to explore new technologies and frameworks.
I also like to challenge myself by participating in hackathons and coding competitions, where I can apply my skills and knowledge to real-world scenarios.
2022 - 2025
CGPI: 10.0
Web Development Lead at GDSC VESIT
2019 - 2022
Result: 95.60%
Ranked 2nd in college
2008 - 2019
Result: 92.80%
I am not an expert but here are a few technologies I have worked with and I am comfortable with. I am always learning new things and I am open to learning new technologies.
June 2024 - July 2024
Developed robust and scalable applications
Migrated existing applications to new technologies
July 2021 - September 2021
Remodeled various parts of the website
Maintained all live websites and made them efficient
September 2020 - December 2020
Composed several articles related to advertisements and its importance
Learnt about marketing, advertising, and brand building
July 2020 - October 2020
Maintained and managed their customer database
Updated inventory on day-to-day basis
Here are some of my noteworthy projects.

Gesturely is a deep learning based Indian Sign Language translator which classifies ISL gestures into their respective glosses and converts them into text.

By analyzing user queries in natural language, AyurPharma offers personalized recommendations for Ayurvedic drugs and formulations, enhancing accessibility to traditional remedies.

A website to calculate your carbon footprint and help you reduce it. Organizations can take personal assessments to collect personalized suggestions and work on them.

This system takes attendance electronically with the help of face recognition. Attendance is marked after student identification.

A password manager using Java. Users can securely save their passwords, create secure passwords or test password strength.

This project is a voice-controlled form filling application built using Python and speech recognition library. The application allows users to fill out a form by speaking the responses instead of typing them.