I am MS CS student at Georgia Tech studying with ML specialisation.

I have 2 years experience at Amazon in full-stack development. Skilled in Java, Python, C++. Strong media and communication professional with a Bachelor’s degree focused in computer science and engineering from International Institute of Information Technology.

I have developed a keen interest in machine learning and its implications in business scenarios. Have worked on various problems ranging from NLP to CV problems.

Recent News

• [Aug’22] Started working with Dr. Rishikesan Kamaleswaran on ARDS and Cerebral Edema detction.
• [Aug’22] Started working as Teaching Assistant for Natural Language Processing (ISYE 8813) course.
• [Aug’22] Successfully completed the SWE intern with Doordash
• [May’22] Started SWE intern with Doordash
• [Apr’22] Our work on Idiomaticity Detection using Few-Shot learning is accepted at International Workshop on Semantic Evaluation workshop.
• [Jan’22] Started working as Teaching Assistant for Introduction to Cognitive Science (CS 3790) course.
• [Aug’21] Started working as Teaching Assistant for Machine Learning (CS 4641) course.
• [Aug’21] Stared Master of Science in Computer Science at Georgia Tech

Education

• Georgia Institute of Technology
  • MS in Computer Science with ML specialization
  • 2021-Present
• International Institute of Information Technology, Hyderabad
  • B.Tech in Computer Science and Engineering
  • 2015-2019
  • CGPA - 9.4/10

Experience

• Software Engineer Intern at Doordash : May 2022 - Aug. 2022
  • Worked with new verticals merchant experience team to develop and launch the functionality of type-ahead suggestion and search for self serve inventory management for non-retail merchants.
  • Worked on AWS, Terraform, Kotlin, Redis, React and GraphQL.
• Software Development Engineer at Amazon : Jul. 2019 - Aug. 2021
  • Inventory Tracking Systems - Designed, implemented and deployed inventory tracking and management systems with source for enhancing sellers reach and increasing customers range of choice. Worked on AWS infrastructure and Java for development.
  • Invoice By Amazon - Launched invoice by amazon project for enabling amazon business customers to easily track the sellers across Europe. Worked on accounting, return and seller infrastructure.
  • Amazon Business Homepage and Navigation - Catered to business customers experience by developing and enriching widgets for business homepage and navigation.
  • Mentored interns and SDEs.
  • Led the inventory tracking module to completion.
• Software Development Intern at Amazon : May. 2018 - Jul. 2018
  • Developed and launched a widget on the Amazon Business Homepage for recommendations on various categories of products which are frequently bought in customer’s industry.
  • Developed the widget using Java and Spring MVC.

Research

• Graduate Researcher at Bio-Medical Engineering Lab : Aug. 2022 - Present
  • Working with Dr. Rishikesan Kamaleswaran Yang on acute respiratory distress syndrome (ARDS) and cerebral edema detection.
• Graduate Researcher at Social and Language Technologies Lab : Jan. 2022 - Aug. 2022
  • Worked with Dr. Diyi Yang on conversation summarization.
  • Employing self-supervision techniques to create structurally-aware and consistently robust summaries.
• Research Intern at ICAR-CNR : May. 2019 - Jul. 2019
  • Worked with Prof. Giuseppe Manco in Summer 2019 remotely.
  • Worked on making the deep neural networks (DNN) secure using variational auto-encoders (VAE) as a technique and how to leverage this learning to make the DNNs more safe and secure.
• Honors Reseacher in Computer Vision at IIITH : Aug. 2017 - Jul. 2019
  • Worked with Prof. P. J. Narayanan on user-perspective rendering for handheld device based Augmented Reality (AR) using neural networks.
  • Made the whole process highly optimized so that a mobile device can simultaneously capture live-feed from front camera, infer the facial features using neural network and then, render the augmented object in front screen by detecting the marker based on detected 3-D user movement.
• Research Assistant at Precog : Jan. 2019 - Apr. 2019
  • Worked with Prof. Ponnurangam Kumaraguru on Natural Language processing, where we generated a fine-grained multi-class dataset for hate-speech detection on GAB platform.
  • We (team of 4) employed a hybrid sub-word level CNN architecture with inferences drawn on alt-right nature of the hate-speech on GAB. The paper has been accepted at The 28th Intl. Conference on Computational Linguistics (https://coling2020.org/).
• Research Assistant at IIITH : Aug. 2018 - Nov. 2018
  • Worked with Prof. Ravi Kiran on novel-view synthesis of hand-drawn sketches using transformation grounded image generation network and Generative Adversarial Networks (GANs).