Ayush Aryan

Software Engineer

Gurugram, Haryana, India2 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Engineered scalable microservices with AWS for high throughput.
Strong competitive programming background with top rankings.
Proficient in both frontend and backend development.

Stackforce AI infers this person is a Fintech Backend Engineer with strong microservices and cloud expertise.

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Skills

Core Skills

MicroservicesAwsFrontend DevelopmentBackend Development

Other Skills

AWS CloudWatchAWS LambdaAWS SNSAWS SQSAmazon S3Amazon SQSAmazon Simple Notification Service (SNS)Apache KafkaC++Caching StrategiesCascading Style Sheets (CSS)CloudWatchCompetitive ProgrammingData StructuresDatabase Modeling

About

Engineering Focus Experienced in designing and building scalable systems using microservices architecture and cloud-native solutions. Proficient in developing robust RESTful APIs, with hands-on experience deploying serverless applications on AWS. Strong grasp of system design principles, software design patterns, event-driven architectures, and database designs for both SQL and NoSQL systems. Problem-Solving & Algorithmic Thinking Solid foundation in data structures and algorithms, backed by a strong track record in competitive programming: Expert @Codeforces (1675) 4 star @CodeChef (1934) Knight @LeetCode (1956) Tech Stack Backend: JavaScript · Node.js · Golang · C++ · Java · Express · Serverless Framework Cloud & Infrastructure: AWS (Lambda · SQS · SNS · S3 · API Gateway · Step Functions · Cloudwatch) Databases: MongoDB · PostgreSQL · Redis Frontend: JavaScript · React.js · HTML · CSS Tools: Git · Dynatrace

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Tata aig general insurance company limited

2 roles

Software Engineer

Jul 2024 – Present · 1 yr 10 mos · Gurugram, Haryana, India

Engineered a fault-tolerant Integration microservice to asynchronously sync 300K records/month with a 3rd-party legacy system (GC). Leveraged AWS SQS, DLQ, Step Functions, Lambda, and CloudWatch for scalable processing and observability. Built automated error-handling to address recurring sync anomalies, reducing manual interventions by 90%.
Designed and implemented a scalable Quotation microservice to generate insurance premiums, processing 700K+ requests/day. Optimized performance with caching strategies and rate-limiting, enabling predictable throughput. Enhanced system reliability by setting up error and latency monitoring with Dynatrace and AWS CloudWatch, enabling faster detection and resolution of incidents.
Migrated the Communication service from blocking synchronous workflows to an asynchronous pub/sub architecture using SQS and SNS, enabling the system to process 4M+ requests/day with lower latency.
Optimized CI/CD pipeline, reducing build time by 75% through caching, layering of node modules.
Integrated an AI-driven risk scoring API into core workflows, improving automation of risk assessment and enabling data-informed decision-making hence reducing business risk exposure.

AWS SQSAWS LambdaAWS CloudWatchNode.jsMicroservicesError Handling+3

Senior Software Engineer Trainee

Jul 2023 – Jun 2024 · 11 mos · Gurugram, Haryana, India

Carikture

Web Development Intern

May 2022 – Jul 2022 · 2 mos · India

Developed an internal productivity tool and integrated it into the existing workflow, reducing manual efforts and enhancing efficiency by 30% using Node.js and React.js.
Implemented two end-to-end websites leveraging React.js (with routing, state management, and API integrations), and enhanced UI of several existing web applications.

Node.jsReact.jsFrontend DevelopmentBackend Development