I am a soon-to-be final year student at
Indian Institute of Technology (IIT) Patna
where I'm majoring in Computer Science.
I work in the intersection of Machine Learning, Software Development and Biology - sometimes Physics.
Started studying B. Tech in Computer Science at IIT Patna!
Indian Institute of Technology Patna Bachelor of Technology in Computer Science Engineering
July '18 - May '22
Coordinator | NJACK - Computer Science society
Coordinator | Student Mentorship Program and Freshman Forum
Member | Anwesha - Annual cultural festival
Software Engineer Intern | Sybill.ai
Jun '21 - Aug '21
Working on the core infrastructure of a venture-backed, early-stage SaaS startup building an AI-powered video call
partner which provides contextualized insights on participants’ emotions. Currently building the user authorization
and asynchronous dataflow pipeline to communicate with Microsoft Graph.
Software Development Engineer Intern | Expedia Group
May '21 - Jun '21
Retail Product & Technology (RPT) Group. Converging the UI technology stack for all Property demands with an API-first approach to be able to provide for all brands across the Expedia Group.
Powering global travel for everyone, everywhere.
Research Collaborator | JCBC, University of Cambridge
May '20 - Sep '20
Created a novel Deep Learning architecture for Automatic Diagnosis of Alzheimer’s Disease from patient audio signals using NLP techniques and Audio characteristics. Achieved state-of-the-art accuracy (85.3%+) on the Dementiabank Pitt Corpus.
Google Summer of Code (GSoC) | Rocket.Chat
May '19 - Sep '19
Designed and developed "Newsfeed" (a social networking feature) for the Open Source application Rocket.Chat. Created a system to retrieve messages from other channels and summarize them to prevent spam in real-time. Worked heavily on scalability and server performance using an adaptive follower/following model.
Multi-Modal Detection of Alzheimer's Disease from Speech and Text
Amish Mittal*, Sourav Sahoo*, Arnhav Datar*, Juned Kadiwala*, Hrithwik Shalu, Jimson Mathew
20th International Workshop on Data Mining in Bioinformatics (BIOKDD) with SIGKDD 2021
Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because there is no definitive diagnosis of AD in vivo.
We propose a multimodal deep learning method that utilizes speech and the corresponding transcript simultaneously to detect AD.
We also perform experiments to analyze the model performance when ASR system generated transcripts are used and further perform an essential study of age and gender bias of our model. The proposed method achieves 85.3% 10-fold cross-validation accuracy on the Dementiabank Pitt corpus.
*Authors contributed equally
Decoding quantum states through nuclear magnetic resonance
Machine Learning for Physics. Built a model to predict the coupling parameters associated with nuclei and electrons
given their time-dependent magnetization curve from a spin-echo NMR experiment. Created a weighted ensemble model comprising of 1. Random Forest over statstical time-series features, 2.
InceptionTime, and 3. a custom CNN to achieve an R2 value of 0.992 and 0.997 for predictions on coupling strength and dissipation parameters respectively.
Developed an assembler and an emulator for a custom architecture machine
consisting of 2 registers, 1 program and stack counter, and some select mnemonics using C++.
The assembler can handle comments and data in different numerical bases and can detect multiple errors and warnings in the assembly code as expected.
The emulator loads the object file created from the assembler and can trace machine code and produce the memory dump along with identifying runtime errors.
Created the prototype of a functional multiplayer parkour video game using Unreal Engine 4; along with tutorial videos for it. Used State Machines to control behaviour and animations. It was my attempt to learn about behaviour states and OOPs. Programming Language used - C++.
This template is a modification to Jon Barron's website. It has further been modified by Rishab Khincha. Find the source code to my version here. Feel free to clone it for your own use while attributing the original author Jon Barron.