Ayush Kumar

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led complex projects with zero production incidents.
  • Achieved 97% completion rate across multiple teams.
  • Early adopter of GenAI tools for accelerated development.
Stackforce AI infers this person is a Full-Stack Developer with expertise in E-commerce and Document Processing.

Contact

Skills

Core Skills

Full-stack DevelopmentAwsData EngineeringSoftware DevelopmentFrontend Development

Other Skills

JavaReactTypeScriptReduxScalaAndesCradleGenAISpring BootGCPGoogle Document AIAngularPythonJUnit5DynamoDB

About

I'm a Software Development Engineer at Amazon, driving large-scale technical initiatives across multiple marketplaces and leading product expansions that impact thousands of sellers globally. What I'm Currently Working On: At Amazon, I lead end-to-end ownership of complex projects spanning infrastructure modernization, multi-region product launches, and data engineering at scale. Recently, I spearheaded the deprecation of a legacy service across 3 marketplaces, coordinating 30+ dependencies across 15+ teams and 5 time zones with a 97% completion rate and zero production incidents. I also led the XYZ service expansion to 5 EU marketplaces Ireland, Netherland, Belgium, Sweden and Poland, managing everything from accounting setup to production deployment while coordinating with 6+ cross-functional teams. Technical Impact: • Built full-stack reward systems across NA/FE/EU using React/TypeScript and Java, serving thousands of sellers. • Migrated critical data pipelines serving 50+ downstream consumers, eliminating 40+ hours/month of manual work and reducing errors by 95% • Modernized infrastructure architecture, reducing code duplication by 60% and enabling 3x faster deployments • Independently fixed a 2-year broken pipeline using GenAI-powered debugging (reduced resolution time from 2 weeks to 3 days) My Approach: I thrive on solving complex problems that require both technical depth and cross-functional collaboration. Whether it's architecting scalable systems, optimizing data pipelines, or coordinating with multiple stakeholders across time zones, I focus on delivering measurable impact. I'm an early adopter of GenAI tools, leveraging them to accelerate development by 40% while maintaining high code quality standards. Technical Expertise: Full-Stack Development • Java • Spring Boot • React • TypeScript • Redux • AWS (CDK, Lambda, S3, DynamoDB, CloudWatch, IAM) • Data Engineering (Andes, Cradle, Scala) • GenAI Tools • System Architecture • CI/CD Background: B.Tech in Computer Science & Engineering from NIT Patna. Previous experience at Eversana building OCR services with GCP and Google Document AI. Always open to connecting with fellow engineers and tech leaders to discuss system design, cloud architecture, data engineering, or GenAI adoption. Let's connect!

Experience

2 yrs 10 mos
Total Experience
1 yr 6 mos
Average Tenure
1 yr 4 mos
Current Experience

Amazon

Software Development Engineer - I

Jan 2025Present · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

  • Led XYZ product expansion to 5 new EU marketplaces (IE/NL/BE/SE/PL), owning complete end-to-end delivery including accounting setup, Flare modeling design with Flash team approval, Beta/UAT testing, and production deployment, coordinating across 6+ teams (Product, Flash, FBI, Accounting, Program, Engineering) to deliver on-time.
  • Spearheaded end-to-end deprecation of legacy XYZ service across 3 marketplaces, orchestrating 30+ dependencies across 15+ teams and 5 time zones, achieving 97% completion rate with zero production incidents while significantly reducing annual IMR costs.
  • Migrated 3 critical DynamoDB tables to Andes serving 50+ downstream consumers, eliminating
  • 40+ hours/month manual effort and reducing data inconsistency errors by 95% through automated
  • Lambda→S3→Scala→Cradle→Andes pipelines.
  • Built complete referral program infrastructure for 3 new marketplaces (BR/MX/EG) by deploying AWS CDK stacks, creating production clusters, and designing automated Cradle data pipelines with S3/IAM configuration.
  • Independently debugged and fixed 2-year broken XYZ pipeline by deep-diving complex EventBridge→Kinesis→Lambda→SQS→DynamoDB architecture, reducing debugging time from 2 weeks to 3 days using GenAI tools.
  • Modernized pipeline architecture implementing factory pattern with multi-environment configurations, reducing code duplication by 60% and enabling 3x faster pipeline creation with CloudWatch observability and 100% test coverage.
  • Resolved multiple on-call tickets while maintaining 100% deployment success rate across all MFL deployments with comprehensive monitoring and zero escalations.
  • Tech Stack : Java, React, TypeScript, Redux, AWS (CDK, Lambda, S3, DynamoDB, SQS, CloudWatch, IAM), Scala, Andes, Cradle, Accounting, Flash/Flare, GenAI (Q CLI, Cline)
JavaReactTypeScriptReduxAWSScala+4

Eversana

Software Engineer

Jul 2023Jan 2025 · 1 yr 6 mos · Pune, Maharashtra, India · On-site

  • Project: XYZ Service
  • Created a Service that performs classification, entity- extraction and training of a document(faxes).
  • Used different GCP models like Custom Classifier, Custom Extractor and Form Parser.
  • Used GCS(Google Cloud Storage) bucket to store training document responses.
  • Updated training status in salesforce by creating SalesforceService in our service and did basic
  • authentication to perform HTTP calls.
  • Deployed the service on GCP using CI/CD for different profiles - Development, Stage and Production.
  • Tech Stack : Java, Spring Boot, GCP(Google Cloud Platform), Google Document AI, Git, Unit Testing,
  • Intergration Testing
  • Tools: VSCode, Postman, BitBucket
  • Project: Intelligent Document Processing System
  • Developed Intelligent Document Processing System for fax reading and field extraction using Google
  • Document AI and advanced OCR technology.
  • Designed user-friendly Angular UI for template input and implemented pre-processing model for
  • optimal fax image enhancement.
  • Created intuitive fax analyzer screen for associates to verify and update fields, displaying average OCR
  • confidence scores for accuracy assessment.
  • Demonstrated expertise in image processing, OCR, and UI design, ensuring a seamless and efficient
  • document processing system.
  • Tech Stack: Angular, Python, Google Document AI, OCR
JavaSpring BootGCPGoogle Document AISoftware Development

Amazon

Software Engineer Intern

Jan 2023Jun 2023 · 5 mos · Hyderabad, Telangana, India · On-site

  • Developed automated flow to check blocked/restricted time using internal APIs, enabling service
  • control.
  • Implemented SEV-2 ticket system for internal API failures, ensuring rapid issue resolution.
  • Validated SPT based on region-specific data, granting access and retrieving Tier-1 Services list.
  • Designed template versioning using S3, enhancing UI for version management and selection.
  • Tech Stack : Java, JUnit5, React, TypeScript, Git, DynamoDB, S3,
  • Tools: Intellij, VSCodium, Amazon Internal tools
JavaJUnit5ReactTypeScriptDynamoDBS3+1

Geomagnify

Frontend Web Developer Intern

May 2021Jul 2021 · 2 mos · Remote · Remote

  • Developed front-end components and interfaces for GeoMagnify, a startup company that provides
  • environmental services to their clients.
  • Integrated EmailJS API to recieve emails in a backend.
  • End-to-end deployment, demonstrating strong technical skills and the ability to deliver high-quality
  • results.
  • Tech Stack : ReactJS , Node.js , CloudMate
ReactJSNode.jsFrontend Development

Education

National Institute of Technology , Patna

Bachelor of Technology - BTech — Computer Science and Engineering

Jan 2019Jan 2023

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