Aug 2022 – Aug 2024 · 2 yrs · Edinburgh, Scotland, United Kingdom · Hybrid

• Use a mix of machine learning and human auditing to uncover relationships between products. My role primarily involved building the platform necessary for establishing various product relationships, such as identifying newer versions, finding substitutes for grocery deliveries, and linking different editions and formats of books.
• ◦ Designed and implemented integration of a data storage and access service with Amazon’s Spark job platform, allowing multiple clients’ Spark jobs to send data to a central store with minimal performance impact, handling 150 billion events (10 TB) daily.
• ◦ Setup a new data pipeline and implemented Spark jobs to choose more than 250 million pairs of book items per day from the Amazon catalog to infer relationships between items.
• ◦ Developed secure, user-friendly tools for ad-hoc operations on the Spark platform, earning positive feedback at an internal forum, and created shared AWS CDK constructs for common use cases.

Nov 2021 – Aug 2022 · 9 mos · Hyderabad, India

• Team: Part of the Embedded Services Platform team that owns the chat application services offered by the Service cloud of the Salesforce platform.
• ◦ Spearheaded the implementation of a pipeline for usage insights, analytics, and tracing logs ahead of a major product launch involving new microservices.
• ◦ Defined the logging framework and orchestrated Waverider batch jobs to generate datasets crucial for data visualization dashboards showcasing usage insights.

Jul 2021 – Oct 2021 · 3 mos · Remote

• Team: Folly Systems is a product startup studio and the maker of Listener.app, a voice-of-the-customer software that enables you to bookmark the important moments of your video calls and turn long recordings into short video clips.
• ◦ Led development and enhancement of the playlists feature for Listener product, implementing collaborators and access roles using React, TypeScript, and GraphQL.
• ◦ Optimized SPA performance by refactoring React components, reducing loading times by 30% through efficient state management and component optimization.
• ◦ Implemented server-side caching using Memcached for playlists and other services, achieving a 45% improvement in data retrieval times and overall application performance.
• ◦ Assisted in conducting user research interviews to analyze user interactions with new features and gain insights into the pain points and requirements of end users.

Jan 2021 – Jun 2021 · 5 mos · Remote, India

• Team: Interned at the 4G LTE Modem’s Downlink protocol team at Qualcomm.
• ◦ Developed a critical profiler to analyze LTE Layer-1 procedures, collaborating with the QXDM team to support parsing and analysis of logs, handling extensive data sets.
• ◦ Gained experience with system-level programming skills and tools like GDB and QXDM to enhance diagnostics and development processes, contributing to a 20% reduction in debugging time.

Oct 2017 – May 2018 · 7 mos · Hyderabad, Telangana, India