Ark Aryan

About Ark Aryan

Hi there! I’m a software engineer with hands-on experience at Amazon and Oracle, where I’ve built and optimized backend systems, cloud services, and automation pipelines that solve real-world problems at scale. I enjoy working across the stack—mostly with Java, Spring Boot, AWS, and system design—and love the challenge of making systems faster, cleaner, and more reliable.Over the past few years, I’ve worked on everything from image validation frameworks to parallelized APIs and large-scale data migrations, always focusing on clean code, performance, and impact. I’m someone who enjoys learning, building, and collaborating with teams that care about quality and innovation.I’m currently exploring new opportunities where I can take on meaningful challenges, grow with smart people, and build products that matter. Let’s connect!

Experience

1. Software Engineer

   Amazon

   Sep 2024 — Present · Bengaluru, IN

   Data Formatting Automation & Workflow Recovery: Designed and automated an end-to-end data export pipeline,standardizing field handling, improving mappings, and securing SQL escaping. Cut formatting time from 14 days to0.5 days and error resolution from 5 days to 1 day, achieving 100% compliance and 100% workflow recovery.• Image Validation Framework (Computer Vision): Designed a computer vision–based validation framework usingOpenCV for pixel-level comparison and threshold-based accuracy checks. Achieved 95% improvement in imagevalidation accuracy and enhanced test reliability across devices.• Performance Optimization through Parallel Processing: Optimized API execution by parallelizing sequentialservice calls using multithreading and context-aware thread pools. Achieved a 40% reduction in response latencyand improved overall scalability and system throughput under concurrent workloads.• Tax Logic Enhancement for Logistic Transactions: Developed new API integrations and enrichment logic foraccurate tax recoverability computations across logistic workflows. Enhanced validation frameworks and auditchecks to ensure data consistency while maintaining complete backward compatibility with existing data models.• Cross-Region Data Migration: Architected and executed migration of 50M+ objects ( 165 TB) between AWSregions with a cost-optimized, high-integrity approach, ensuring >99.9% data consistency and near-zero downtimeduring transition.

Education

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Computer Science

  2019 — 2023