Summary
Overview
Work History
Education
Skills
Timeline
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Tushar Jayaram

Brooklyn

Summary

Two years of postgraduate experience in a fast-paced, deliverable-oriented team at Amazon. Strong experience with AWS scaling and product building, with products directly generating over 4 million in annual additional revenue for Amazon Fresh.

Overview

2
2
years of professional experience

Work History

Software Development Engineer

Amazon
05.2022 - Current
  • Reduced global latency by 8% for a customer-facing ad framework handling 250k transactions per second (TPS) through strategic precomputation in AWS Lambdas and optimized data storage in S3 buckets
  • Led system design and implementation of a Post Order Addition feature from scratch, which resulted in a $3.9 million annual increase in product sales in North America
  • Migrated 5000+ lines of legacy, customer-facing code infrastructure to AWS via AWS CDK and auto scaling EC2 instances
  • Manually descaled hosts and fleets to minimize CPU utilization for all services during peak time, saving an average of 48% of CPU costs between January 2023 and December 2023
  • Handled on-call duties monthly to serve as the point of contact for the team, including 24/7 service support if alarm thresholds were breached
  • Addressed customer ad-rendering outages due to high latency by implementing a quick-fix compression algorithm, which sped up parsing of 10MB+ JSON S3 files by 100%
  • Led design reviews and architecture suggestions across multiple product and development teams to get cross-service sign-off on high visibility customer-facing products
  • Underwent pair programming to build out a REST-API to make a product ASIN calculation model remotely accessible to all ad serving platforms within the company
  • Aligned with multiple teams to document a necessary naming convention for all future JavaScript code across 200+ applications in a microservice to fix a duplicate variable issue causing sporadic outages for 12+ months

AI Model Trainer

Data Annotations
09.2023 - Current
  • Contributed to the training of thousands of AI models by providing nuanced prompts, enhancing the models' ability to generate diverse data structures and programming solutions
  • Critically assessed responses from various AI models to programming questions, ranging from foundational to complex topics, ensuring model accuracy and relevance
  • Worked closely with AI development teams by providing critical feedback and insights, aiding in the iterative improvement of AI models' understanding and response generation capabilities

Education

Computer Science and Data Science

University of Michigan
Ann Arbor, MI
05.2022

Skills

  • C, Java, AWS, Spring, Python, React/Native, Guice, JavaScript, Bash, Git, Docker
  • Deep diving, technical/non technical writing, System Design, accountability, documentation

Timeline

AI Model Trainer

Data Annotations
09.2023 - Current

Software Development Engineer

Amazon
05.2022 - Current

Computer Science and Data Science

University of Michigan

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Tushar Jayaram