Experience

• 

  Intuicompterascience icts

  Aug 2018 - Sept 2020

  Back end developer

  As a Research Assistant at the Machine Learning Research Laboratory (ML-RL) under Dr. Dipanjan Goswami and Dr. Arpan Kumar Kar at IIT-Delhi, I developed an in-house coding submission checker capable of handling C, C++, and Java ML submissions for competitions hosted on the site. I utilized the Django REST framework with Python and deployed the solution for the Coding Hackathon on www.icts-learninganalytics.com.

• 

  Indian institute of technology, delhi

  May 2019 - Nov 2019

  Research assistant

  Collaborated with Dr. Chetan Arora on the development of the "Neuro-Endo-Trainer-Online Assessment System (NET-OAS) for Neuro-Endoscopic Skills Training," published at FedCSIS 2017. Identified and analyzed shortcomings in existing algorithms, focusing on the Computer Vision algorithm for tracking, learning, and detection of objects (TLD Algorithm). Presented an implementation using the CMT algorithm, which demonstrated superior results on the dataset.

• 

  Amazon

  Aug 2021 - Jul 2023

  Software development engineer

  At AWS, I contributed to the Just Walk Out (JWO) organization across multiple teams:1. ASSET-PI team2. ECA team3. VIDS teamKey Achievements:Developed health check modules to assess ECA device readiness using AWS tools, reducing manual effort by over 4 hours per store launch, resulting in a 20% workflow time saving.Optimized accuracy testing for high recall models, including Random Forest classifiers and 3D CNNs, within the JWO organization. Created CloudWatch/Python scripts that reduced weekly error triage time from 25 minutes to 0.5 minutes, achieving a 98% efficiency increase. These scripts were subsequently adopted by downstream teams.Designed Java modules for Store-Fixture-Monitoring to automate product status monitoring, cutting developer effort by 2.5 hours per week for large format stores and 1 hour per week for smaller stores.Mentored new software development engineers (SDEs) and interns, and conducted interviews for SDE-1 (L4) candidates. Show less

• 

  Miie lab

  Mar 2024 - Jun 2024

  Machine learning engineer

  As a Machine Learning Engineer at MiiE Lab, I develop state-of-the-art NLP and computer vision models to identify biases in news articles. My work includes analyzing coverage, nominal, sentimental (using VAD metrics), and lexical biases. I utilize Selenium web drivers for data scraping and HuggingFace libraries for implementing transformer architectures to map critical word embeddings and compute biases.

• 

  Biological sciences division at the university of chicago

  Jun 2024 - now

  Research assistant

  Currently working as a Research Assistant on an NIH-funded project at The University of Chicago's Biological Sciences Division. Collaborating with Dr. Yulei Jiang, I am developing a cross-platform application using Flutter to accurately record radiologist readings of ROC curves. User demographics will be clustered into appropriate groups using unsupervised machine learning models for further analysis.This application is designed for iOS, Windows, Mac, Android, and Linux, utilizing a single codebase for streamlined development. My responsibilities include both front-end and back-end development, with a focus on gamifying the user experience to enhance engagement. Actively researching innovative gamification strategies to integrate into the application. Show less