Supreet Singh

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in architecting scalable distributed systems.
Proficient in AWS and microservices development.
Pioneered AI solutions for enterprise applications.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the E-commerce industry.

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Skills

Core Skills

Distributed SystemsAwsGenai

Other Skills

JavaGraphQLMicroservicesECSLarge Language Models (LLM)Systems DesignAWS Identity and Access Management (AWS IAM)Python (Programming Language)TypeScriptSQSSNSCI CDElasticsearchCDKBack-End Web Development

About

Hi, I'm Supreet, a passionate Software Engineer with 4.5+ years at Amazon building scalable distributed systems that power critical e-commerce operations for Amazon.com, Amazon Grocery, and stores like Whole Foods Market. I have experience architecting and delivering microservices handling millions of daily transactions across catalog management and marketplace tax systems. - Full-stack development across Java, Kotlin, Python, React (JS) and TypeScript (AWS CDK) ecosystems - Proficient with Building Enterprise solutions on AWS ( S3 , EC2 , VPC , SQS , SNS , Lambda , Step Functions etc) - GenAI Tools using multi modal LLMs / AWS Bedrock , Kendra , Vector DB etc . - Python - Fast API , LangChain , LangServe , Gen AI , LLM

Experience

4 yrs 9 mos

Total Experience

4 yrs 9 mos

Average Tenure

4 yrs 9 mos

Current Experience

Amazon

2 roles

SDE

Aug 2021 – Present · 4 yrs 9 mos

At Amazon, I architect and develop distributed systems powering critical e-commerce operations for Amazon.com and Whole Foods Market, processing millions of daily transactions with 99.9% availability.
Key accomplishments:
Designed a multi-catalog synchronisation system maintaining data consistency across three distinct catalog systems, reducing discrepancies by 95% and enabling seamless omnichannel retail operations.
Built a real-time auditing platform processing 3M+ daily events with sub-100ms latency, enabling instant visibility into catalog changes and reducing investigation time from days to minutes.
Created fault-tolerant event-driven architecture leveraging AWS ecosystem (Lambda, ECS, OpenSearch, DocumentDB, SQS, SNS) for business-critical catalog services.
Pioneered AI adoption by developing RAG-based knowledge chatbots using AWS Bedrock, creating reusable templates for enterprise AI applications, and building MCP servers with API context awareness.
Developed a metrics reporting service transforming business analytics capabilities, enabling data-driven decisions and reducing debugging time across multiple microservices.
Designed cross-region system integration patterns during region-flex migration, establishing reusable patterns for secure data flow between AWS regions.
Mentored junior engineers on system architecture and AWS services, helping them deliver complex features while maintaining high code quality.
Collaborated with Principal Engineers to implement distributed systems, earning recognition for technical contributions and translating architectural vision into solutions.