Neel Shah

Hey myself Neel Shah in Third year Computer Science Engineering at VJTI, Mumbai and i would like to participate in hackathons and explore the domains of development as much as possible!

I am very proficient with full stack Web development, Artificial Intelligence, Machine Learning, Computer Vision, Deep Learning and Natural Language Processing!

Looking forward to participate in hackathons and make the best of the opportunity!

Projects

CodeStack

CodeStack provides complete guide to the students who wants to learn coding and coding related subjects in the best way right from the basic to the adnace levels.JavaScript, MongoDB, Nodejs, CSS3, HTML5

PalTalk

PalTalk is a web chat application with amazing bot features.React, JavaScript, MongoDB, CSS3, HTML5

AasanAI - Your Personal Yoga Trainer

An ecosystem for Yogasanas. AasanAI is a Deep Learning-powered Web and Mobile application to help you during your yoga workouts. It detects your Yogasana position and helps you perfect your Yogasana.React, Firebase, TensorFlow, Android, Deep Learning, Kotlin

deCertify

Decentralized Certificate Verification Platform - Security and Verification of Certificates using the power of BlockChainSolidity, Next.js, ethers.js, React Native, Blockchain, Tailwind CSS, Celo

Skills

JavaScript

Node.js

Machine Learning

Deep Learning

React.js

Experience

Google Summer Of Code - Open Source Developer
May 2022 - October 2022
The Project is under guidance of Dr. Lorenzo Moneta. It involves development of a fast inference system in TMVA, called SOFIE, that takes ONNX model as input and produces compilation-ready standalone C++ scripts as output.
This project focuses on development of some missing deep learning operations which will allow to build more complex networks within TMVA and also to write the corresponding unit tests need to validate the written code. The contributions will be presented in an international Conference at ACAT 2022 in October 2022.
IIT Bombay - Research Intern
September 2022 - Present
The Project is under guidance of Dr. Pushpak Bhattacharyya.The idea of the research project is to create mappings of synsets among languages in IndoWordnet and linking it with Princeton’s Wordnet. Currently, manual adding/ mapping of synsets and concepts are done which is inefficient.
The motive is to find the word embeddings of synsets including each of the words in gloss, example synset and synonyms then calculate the synset embeddings. Then we need to find the cosine similarity between the embeddings of synsets and provide automatic linking between the synsets of different languages