Jun 2024 – Present · 1 yr 9 mos · San Francisco Bay Area · Remote

Jun 2021 – Jan 2023 · 1 yr 7 mos · Seattle, Washington, United States

• I work in the Alexa Multitasking team as a software engineer. Our team owns a service which owns and manages skill sessions, powering various multitasking capabilities on Alexa.
• My major contribution till date has been in the Skill Resumption program: https://developer.amazon.com/en-US/blogs/alexa/alexa-skills-kit/2020/07/make-it-easier-for-customers-to-pick-up-where-they-left-off-with-skill-resumption. I have been working on handling the onboarding and debug requests for skill developers as part of our private beta program. I am also working on preparing the feature for a public launch: designing services, writing code, testing infrastructure, and dev-ops.

May 2020 – Jul 2020 · 2 mos · Seattle, Washington, United States

• I was an intern at the Alexa multitasking team. I built a visualization tool to reconstruct the lifecycle of a skill, and the interactions between different skill sessions in multitasking scenarios (where more than one skill can coexist in our service)

Jan 2020 – May 2021 · 1 yr 4 mos · Atlanta, Georgia, United States

• I am a contributor to the Georgia Tech Structure From Motion (GTSFM) [https://github.com/borglab/gtsfm/]. GTSFM is a global structure-from-motion pipeline, which runs can run clusters. We leverage NVIDIA's Dask framework to enable each component of the SLAM pipeline (like feature detection, matching, averaging, bundle adjustment) etc to run on clusters.
• I have created the base API of many different modules for GTSFM to create a plug-and-play software where researchers and developers can develop facades for their algorithm and utilize all remaining components of GTSFM to run 3D reconstruction.
• I have also ported many different front-end algorithms for feature detection and matching. This includes both deep networks like SuperPoint and SuperGlue, and classical methods like SIFT and Ransac. Utilizing the distributed computing offered by GTSFM, I was able to benchmark 15000+ combinations of front-end (by using different algorithms, networks, and hyperparameters).

Aug 2019 – May 2021 · 1 yr 9 mos · Greater Atlanta Area

• I was a Teaching assistant for the computer vision course for 4 semesters. As a TA, I was involved in creating new assignments from scratch (in areas like stereo vision, object detection, deep learning, etc). I also graded exams and assignments, conducted office hours, and presented the developments in deep-learning for SLAM to the class

Jun 2017 – Jul 2019 · 2 yrs 1 mo · Bengaluru Area, India

• I worked in the cloud team for the Risk division, handling the risk metric calculation workflow and its distribution on the cloud farm.
• Summary:
• Designed a new distributed computing system based on microservice architecture using Kafka and MongoDB to calculate risk for FRTB regulation, generating global data stores and reduced debug time by ~20% for teams
• Built the task packaging and runtime prediction model for the in-house distributed computing system; contributed to reduction of ~10% in compute costs
• Developed a new data engineering system to capture the runtime metadata of millions of pricing sessions

Feb 2017 – Apr 2017 · 2 mos · Mumbai Area, India

• Designed an algorithm to derive the engine r.p.m using data from a proprietary sensing
• technology; Used digital filters to clean the input data and modeled the shift in r.p.m as a
• Gaussian distribution to obtain robust and stable r.p.m estimates

Dec 2015 – Jan 2017 · 1 yr 1 mo · Mumbai

• • Developed and tested signal processing functions in domains like pseudospectrum evaluation and filter design

May 2015 – Jul 2015 · 2 mos · Tokyo, Japan

• Developed a cloud-based testing platform for Android applications with on-demand device allocation service
• Injected stubs in the Android source code to work-around network restrictions in Android’s native emulators

Aug 2013 – May 2014 · 9 mos · Mumbai

• • Worked in the battery and battery management system for our college's race care entry to the Formula Student UK competition

Mar 2013 – Feb 2014 · 11 mos · Mumbai Area, India

• Handled Android app development and backend for apps.