Vishesh Singh

Software Engineer

Gurugram, Haryana, India4 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Achieved $600K annual savings through optimized storage migration.
Reduced weaving latency by 70% with concurrency-safe library.
Improved GET API latencies by 22% in storage migration.

Stackforce AI infers this person is a SaaS Backend Engineer with expertise in AWS and distributed systems.

Contact

visheshsingh721@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsAwsCore JavaData StructuresDatabase DesignBackend DevelopmentJava

Other Skills

APIsAWS LambdaAWS S3AlgorithmsAmazon EC2C#C++Competitive programmingConcurrency ControlsCoral APIsData AnalysisDynamoDBElasticsearchGitJava Springboot

About

As a Software Development Engineer II at Amazon, I contribute to designing high-performance, distributed systems, focusing on optimizing latency, scalability, and cost efficiency. Recent projects include launching a next-generation cold storage system (2.0) with zero downtime, resulting in $600K annual savings and 22% improved GET API latencies, as well as developing a concurrency-safe library that reduced weaving latency by 70%. With a Bachelor of Engineering in Computer Science from Chandigarh University, I bring expertise in systems design, Core Java, and AWS solutions. I am motivated by building resilient systems that deliver measurable impact, including cost reductions and performance enhancements, while collaborating with teams to drive organizational adoption of innovative solutions.

Experience

Amazon

2 roles

Software Development Engineer II

Promoted

Dec 2024 – Present · 1 yr 3 mos

Cold Storage Migration
● Launched 2.0 storage for legacy service and migrated 185k TPS live traffic from 1.0 to 2.0 storage system.
● Used DynamoDB for offset storage and AWS S3 for blob storage, employing data batching to lower PUT costs.
● Implemented Coral APIs for 2.0 storage to support both 1.0 use cases and 2.0 datatype needs.
● GET API latencies improved by 22% and achieved $600K YoY annual savings through optimised storage migration.
Mercury Library
● Proposed and developed a wrapper library for parallel execution of operations on the ER model, addressing thread
safety issues in the existing data model by implementing custom concurrency controls.
● Initiated organization-wide adoption of the new library to enhance operational execution speed.
● Reduced weaving latency by 70% within the team for GET APIs using Java synchronized blocks and Executor Service.
● Improved business-critical SLAM latencies by 12% in Shipping Org, exceeding the VP-level goal of 10% reduction.

DynamoDBAWS S3Coral APIsJavaDistributed SystemsAWS

Software Development Engineer

Mar 2022 – Dec 2024 · 2 yrs 9 mos

GDPR Compliance Adoption
● Launched a comprehensive solution for onboarding all services to DSAR, ensuring GDPR legal compliance.
● Created secondary indexes to facilitate efficient data retrieval for customer requests.
● Composed APIs for data deletion and retrieval in response to user requests with 99.99% availability.
● Subscribed to the DSAR SNS topic, utilizing SQS for request handling and AWS Lambda for real-time execution.
S3 tagging and Secondary Index Optimisation
● Productionized self-initiated projects to reduce operational costs due S3 Object tagging and redundant data storage.
● Optimized S3 object tagging logic across services by dynamically analysing, resulting in a 98% reduction in tagging.
● Removed dependencies on redundant fields of secondary indexes, minimizing impact on clients by planning for an
incremental rollout.
● Generated YoY annual savings of $250K in operations for the team through these optimizations.

APIsAWS LambdaSQSSecondary IndexesAWSData Structures

Caastle

2 roles

Software Developer

Jul 2021 – Mar 2022 · 8 mos

Data Feed Manager
● Developed a service for scheduled and on-demand data deliveries to clients using AWS Lambda and AWS S3.
● Implemented APIs for manual refresh of data segments to facilitate timely posting on client channels.
● Achieved a significant reduction in purchase trend analysis time from 1 hour to 3 minutes.
Shipment Promise Generator
● Created a service using Java Springboot for estimating shipment times based on user subscription types.
● Optimized delivery timing by incorporating factors like warehouse affinity, time zones and 3P promises.
● Enhanced promise delivery rates by 55%, improving customer satisfaction.

AWS LambdaAWS S3Java SpringbootBackend DevelopmentAWS