Dec 2021 – Sep 2024 · 2 yrs 9 mos · Bengaluru, Karnataka, India

• I lead Identity and Partnerships charter within the International and Growth org. I have successfully launched a framework for telcom partners to provision and maintain lifecycle of subscriptions in MEA and SEA which brings about 45% of total subscriptions in these markets.
• I successfully fortified our logins in MEA and SEA through reCAPTCHA which resulted in 70% reduction in our SMS bills. It also led to an improvement on login conversion rate by 6%. This helped us protecting our systems against DDoS attacks.
• I successfully launched OTPless login which improved user journey and also reduced our SMS costs in Indonesia which were higher because of poor delivery rate which the led to more SMSes per login.
• My day-to-days involves code reviews and design (HLD and LLD) reviews to ensure quality in everything we do.
• Additionally, I love sharing my learnings and help my teammates grow and be more productive.

Jan 2020 – Oct 2021 · 1 yr 9 mos · Seattle

• Designed and implemented a feature which reported broken hardware components on a server. This feature contributed to the reduction in "time for hardware to production" metric by approx. 15%.
• Designed and implemented publisher-consumer architecture using Amazon SQS to integrate with replication service. This reduced the time for new configurations to be available in target AWS regions from hours to minutes. This also deprecated the use of a bash script which synced databases between source and target regions.
• Lead various projects involving cross-team collaboration to deliver high-impact features to AWS customers.
• Designed a service to send outbound notifications to customers as part of a new confidential Amazon product.
• Experience with AWS technologies - SQS, DynamoDB, S3, etc.

Jul 2018 – Dec 2019 · 1 yr 5 mos

• Technology Stack : Python, Flask, AWS
• Deployed web-application for chronic pain assessment on AWS using ElasticBeanStalk.
• Developed software to extract features from EEG signals to assist prediction of pain scores. Reduced its time complexity by 50% (approx.) by optimizing key modules of this software.
• Designed software to extract region of interest (ROI) information corresponding to the sources of EEG activity by leveraging the concept of source localization.
• Developed a classification algorithm using ElasticNet to determine a pain score on a scale of 0-10 with 80% accuracy.
• Wrote extensible and maintainable code to integrate new data processing software into the data processing pipeline.

Nov 2017 – Jun 2018 · 7 mos · Greater Boston Area

• Developed software to extract features from very long EEG signals to assist in prediction of neurological injuries.
• Wrote code to organize metadata and patient information associated with the incoming EEG files.

May 2016 – Aug 2017 · 1 yr 3 mos · Hershey, Pennsylvania

• Developed software for segmentation and analysis of kidney MR images.
• Gained experience in working in a collaborative environment.

Aug 2015 – May 2016 · 9 mos · Middletown PA

• Provide assistance in conducting Physics laboratory sessions.
• Provide teaching assistance in engineering Physics classes.
• Provide teaching assistance in other engineering courses such as digital image processing.
• Conduct Digital Image Processing laboratory sessions.
• Provide assistance to students in their in-class projects.