Hi, I'm Abhishek

I'm a Full Stack Developer and Machine Learning enthusiast based in Mumbai, IN.

ProjectsResume

About Me

Back in my second year of engineering, I entered a hackathon with almost zero programming knowledge. That night, I dove headfirst into the rabbit hole of programming, and to my surprise, my team ended up winning the runner-up prize.

Since then, I’ve explored Machine Learning, Web Development, Android Development, and everything in between. I completed my Bachelor’s in Artificial Intelligence and Data Science from Mumbai University

Currently, I work as a Full Stack Software Developer, primarily using Spring Boot and React to build robust, real-world applications.

When not working, you can find me doing photography, reading, experimenting with cooking or cycling.

Technologies I have worked with:

Java

Python

Spring

Hibernate

TypeScript

HTML

CSS

SQL

PostgreSQL

React

Next.Js

Tailwind CSS

Git

SVN

AWS

Jupyter Notebooks

Android Studio

Google Colab

Firebase

Projects

Anuvadak: ISL Translation

  • Developed an Android app to translate Indian Sign Language (ISL) to text in real time.
  • Implemented palm detection and sign identification using Tensorflow, Mediapipe, and OpenCV.
  • Utilized various deep learning algorithms, including LSTM, to train the model on over 3000 images.

TexTruth

  • AI-powered solution to differentiate between AI-generated and human-authored
  • Assessing the quality and sophistication of AI-generated content. Thus trying to advance content verification tools for enhanced trust and reliability in an AI-driven information landscape.

FashionGAN

  • Generating Fashion Images using GANs
  • This project leverages GAN architecture to generate 28x28 fashion images. The FashionMNIST dataset, consisting of grayscale images of various fashion items, serves as the training corpus.
  • The whole Generative adversial network was trained locally therefore images are lower resolution but results can extrapolated.

Used Books Marketplace App

  • Created an Android app for college students to buy and sell used textbooks.
  • Provided a platform for easy exchange of textbooks within the college community.