About Me

I'm a Data Science Associate at ZS. I've been coding for a long time and nothing brings me more joy than writing a piece of code that works flawlessly. I'm an avid researcher and my fields of interest are Natural Language Processing and Computer Vision, specifically Computational Linguistics and Depth Estimation.

If I'm not doing a project then I love to listen to music, play video games and read books. I know how to play the drums and happen to be very good at it. I'm always up for a project, so don't think twice about dropping me a message.

Research

Centre for Language Evolution, University of Edinburgh

Visitng Student Researcher - August 2021 - Present

Formal v/s Contextual Cues for Grammatical Gender Prediction

Generated vector representations based on contextual and formal properties of the words
Experimented extensively on the usability of both types of vectors in a task of noun gender prediction

Natural Language Processing Artificial Language Learning

Cognitive Neuoscience Lab, BITS Pilani Goa Campus

Student Researcher - August 2020 - Present

Diachronic Distributed Word Representations as Models of Mental Lexicon

Used a temporally sliced corpus to learn distributed word repre-sentations of child-speech and child-directed speech
Demonstrated the ease of usage and effectiveness of diachronic distributed word representations in modeling lexical development

Natural Language Processing Computational Linguistics

Work Experience

Microsoft IDC, Hyderabad

Software Engineer Intern - May 2021 - July 2021

Part of the Microsoft Search, Assistance and Intelligence Team.

Added end-to-end pipelines for new voice commands in state-of-the-art conversational bot.
Implemented easily migratable, functional code as the framework was being given a revamp to be less dependent on APIs.

c# javascript asp.net azure reactjs

Microsoft IDC, Hyderabad

Software Engineer Intern - May 2020 - July 2020

Worked in the E+D group, specifically in the IC3 team as a front-end developer.

Migrated existing static website to a dynamic frontend and deployed it on Azure.
Integrated ReactJS pages to work with .NET MVC project and made migration of future pages easier.

c# javascript asp.net azure reactjs

Tessellate Imaging

Machine Learning Intern - February 2020 - May 2020

Was a part of the open source team of Tessellate Imaging's MonkAI, which is a low code deep learning tool and wrapper for computer vision.

Contributed in necessary documentation for the library to run on colab.
Helped in analysis and implementation of the hyperparameter analyser of the library by running experiments on a plant disease classification dataset.

python pytorch mxnet onnx