Currently a Graduate student in Computer Science at the Donald Bren School of Information and Computer Sciences at University of California, Irvine advised by Prof. Sameer Singh.
Previously worked as part of the Innovation team at Société Générale. Works involved developing business transforming product suites focused on automatic KYC remediation, extracting context-based information from scanned documents, knowledge graphs, trade finance automation, semantic search and multilingual chatbots using AI.
Before that, I got my Bachelors degree in Electronics and Communication from Indian Institute of Information Technology Allahabad.
During my bachelors, I was fortunate to work with some amazing mentors in different research labs. I have worked with Prof. Kuntal Ghosh and Prof. Sanjit Maitra at the Center for Soft Computing Research of Indian Statistical Institute. I have done my bachelor thesis at the TCS Innovation Labs working with Dr. Brojeshwar Bhowmick.
Apart from my academic endeavours, I like playing video games, sketching, cooking, reading about economics and history.
Master's degree in Computer Science, 2022
University of California, Irvine
BTech in Electronics and Communication, 2018
Indian Institute of Information Technology, Allahabad
Demystifying Confidence Interval and Margin of Error
What does saying I'm 95% confident really means statistically? I tried to find more about the Confidence Interval and Margin of Error but they seem to be quite hard to understand for someone without in-depth knowledge of statistics. The challenge is most of the...
What distinguishes a neural network that generalizes well from those that don't?
The results look quite interesting as the model can perfectly fit the noisy Gaussian samples. It also perfectly fits the training data with completely random labels although it takes a bit more time. This shows that a deep neural network with enough parameters could completely memorize some random inputs.
Using Deep Learning to Analyse Movie Posters for Gender Bias
co-author: Aiyaz Miran, Mohammad Shahebaz It has been historically documented how pop culture and societal norms relevantly play out each other, often mirroring the behavioral trends in the population at large.
Hypothesis Testing along with Type I & Type II Errors explained simply
Hypothesis Testing along with Type I & Type II Errors explained simply. How to select the right test for an Experiment and make a decision based on statistical evidence?.
I am a project mentor and reviewer for the following Nanodegrees at Udacity:
Served as the Coordinator of my Institute’s technical society. In this role, I have to take special programming tutorial classes and workshops of my junior batches.
Was a part of IEEEE IIITA Student Chapter, where my responsibilites was to coordinate all technical publications and event reports.
Using Deep Learning to Analyse Movie Posters for Gender Bias.
InstaKYC is an awarding winning deep learning based platform designed to transform & automate KYC processes
Using Machine Learning to automate loan document verification.
A conversation UX that provides customers a more natural way of interacting with information systems.
Python script for streaming movies directly from torrent to yours vlc media player.
An AutoML platform, for conducting AI/ML related experiments.
IoT based general purpose Security and Surveillance system for home, office, traffic etc.
Language agnostic search tool for private documents.
A novel approch to conserve electricity using smart grid.
Using Machine Learning to automate trade finance verification. The solution involves extracting critical information across various documents like Bill of lading, Letter of credit, etc, and making sure those documents comply with ICC UCP & ISBP rules.
Android app for the annual cultural and technical festival of IIIT Allahabad.
Segmentation of White Blood Cells and Brachial Plexus from Ultrasound Images using CNN based UNet architecture.
Predicting the level of the mutation using machine learning and signifying whether it is Benign, Likely Pathogenic, Pathogenic or something else. The dataset was provided by Strand Life Sciences.