AYUSHI
Seattle,WA
Summary
Software engineer with 4 years of experience building distributed systems, data platforms, and AI-powered developer tools at Amazon. Led AI-native development adoption across 50 engineers, architected financial computation platforms serving 8 global marketplaces, and built production AI agents for automated code review and incident investigation.
Overview
5
5
years of professional experience
Work History
Software Development Engineer II
Amazon
Seattle, WA
10.2024 - Current
- Led AI-native development initiative across 6 teams and 50 engineers, reducing feature delivery time from 4 weeks to 2 weeks for a production feature spanning 6 microservices
- Designed in-memory testing infrastructure with local service emulators, cutting iteration cycles from 2-3 hours to under 5 minutes and achieving 90% AI code generation success rate
- Built self-improving code review agent analyzing 631 reviews across 11 engineers, identifying 22 anti-pattern categories and eliminating 650 manual review comments per month
- Architected API platforms for financial calculations across 8 global marketplaces with multi-tenant business profiles, SageMaker model registry, and workflow orchestration, replacing 5-6 week manual processes
- Built self-service experimentation platform reducing data science cycles from 10-12 weeks to under 1 week with tenant-isolated sandbox environments and per-team cost attribution
- Automated incident investigation with AI agent surfacing root cause in 5 minutes versus 45-60 minutes manually, reducing issue-to-fix time from 17 hours to under 10 minutes
Software Development Engineer
Amazon
Seattle, WA
07.2022 - 09.2024
- Designed one-click data quality blocking system pausing 300 scoring workflows via single API call, replacing manual process consuming 10-15% of oncall time and saving $5,000 per month in compute costs
- Automated backfill validation across 200 data backfills, catching major financial formula error that led to correction, saving engineering and science teams 10 hours per month
- Developed scalable data pipelines processing 50TB monthly using Python, Spark, Airflow, and EMR, achieving 30% faster feature generation across marketing attribution workflows
- Unified 3 separate scoring workflows into single orchestrated DAG, reducing codebase by 50% with priority-based scheduling, automatic SLA tracking, and retry logic
- Standardized international marketplace expansion across 5 regions, reducing onboarding time by 50% through reusable templates adopted by away teams for 3 additional marketplaces
- Led EMR fleet migration to Graviton instances, saving $3,750 per month with 15% runtime reduction and 75% decrease in security vulnerability tickets
- Built shadow pipeline with 18 upload jobs for safely testing ML model changes before production adoption with comprehensive monitoring and alerting
- Mentored 2 junior engineers and 1 intern through project delivery, resolving 14% of 1,163 operational tickets and contributing 16% of all code review comments
Software Engineering Intern
Arcesium
Remote, India
05.2021 - 07.2021
- Migrated client-facing legacy UI to modern React-Redux stack for global pricing application, developing reusable components and implementing frontend testing with Jest
Software Engineering Intern
Microsoft
Remote, India
10.2021 - 11.2021
- Built full-stack student-professor interaction platform with authentication and assignment management using React, Redux, MongoDB, and Webpack
Education
Bachelor of Technology (Honors) - Computer Science and Engineering
National Institute of Technology
Jamshedpur06-2022
Skills
- Python
- Java
- TypeScript
- JavaScript
- SQL
- C
- AWS Lambda
- SageMaker
- DynamoDB
- S3
- EMR
- Airflow
- API Gateway
- SNS
- Glue
- Kinesis
- Step Functions
- CDK
- Docker
- CI/CD
- Distributed Systems
- RESTful APIs
- Event-Driven Architecture
- Microservices
- Workflow Orchestration
- Infrastructure-as-Code
- LLM Development
- Prompt Engineering
- Agentic Workflows
- Automated Code Review
- RAG
- AI Agent Development
- ETL Pipelines
- Data Lake Architecture
- ML Model Serving
- Real-Time Streaming
- Apache Spark
- A/B Testing
- React
- Redux
Languages
Python
Java
TypeScript
JavaScript
SQL
C++
Timeline
Software Development Engineer II
Amazon
10.2024 - Current
Software Development Engineer
Amazon
07.2022 - 09.2024
Software Engineering Intern
Microsoft
10.2021 - 11.2021
Software Engineering Intern
Arcesium
05.2021 - 07.2021
Bachelor of Technology (Honors) - Computer Science and Engineering
National Institute of Technology