Jan 2023 – Jan 2023 · 0 mo · Gurugram, Haryana, India · Hybrid

• At Amazon, I achieved the following milestones:
• Backend Accomplishments:
• Developed an automated access control mechanism in Amazon's delivery device management portal, strategically preventing unauthorized or inadvertent configuration changes during critical periods like Amazon Great India Sale, Black Friday, and other prime peaks. This dynamic solution significantly reduced errors, which otherwise would negatively impact processing of 1000s of packages within minutes in delivery stations. This enhancement ensures smoother and more reliable operations during high-demand scenarios, enhancing overall efficiency and customer satisfaction.
• Executed migration of communication protocols for delivery station devices, optimizing label interpretation and fostering faster, improved interactions. This strategic move is part of a broader initiative to enhance and expedite same-day delivery services.
• Developed and integrated a new label for Amazon's same-day delivery, incorporating unprecedented features. The label introduces novel mechanisms to distinguish b/w various label types and the devices scanning them. This implementation significantly hastened package processing in delivery stations leading to reduced delays and errors in Amazon's same-day delivery operations.
• Frontend Accomplishments:
• Created a search/filter component for Amazon Delivery's internal website, streamlining the process of finding different devices and their configurations within the delivery station.
• Created a rollback difference checker, akin to GitHub's commit difference checker, to discern variations in versions of device configurations uploaded to Amazon Delivery's internal website. This tool enhances precision in tracking and managing configuration changes, elevating the technical efficiency of the system.
• Also, I actively applied software development best practices, including thorough code reviews, robust unit testing, and Git version control management.

Mar 2022 – Jul 2022 · 4 mos · Brisbane, Queensland, Australia · Remote

• 1. Worked on using NLP and Deep Learning for COVID-19 fake news detection.
• 2. Experimented with Transfer Learning methods for domain adaptation.
• 3. Implemented a fine-tuning approach for a BERT based classifier to resample limited training data.

Jul 2021 – Jul 2022 · 1 yr · Remote

• 1. Created an audiometry application for comprehensive hearing tests.
• 2. Integrated real-time monitoring of ambient noise levels with a dynamic database for storing complaints.
• 3. Implemented a proactive notification system, alerting users based on their proximity to areas with elevated noise, fostering increased awareness and a healthier auditory environment.