Headline

SDE @ CoinDCX | Ex-Swiggy | Ex-Thales | Java | Spring boot | Microservices | AWS | Specialist @ codeforces

About

A passionate software developer with 3+ years of experience owning scalable, high-throughput distributed systems using Java, Kafka, and Microservices, including derivatives trading platforms processing thousands of events per second. Proven expertise in designing low-latency, fault-tolerant, event-driven architectures and delivering reliable production systems at scale. Specialist Programmer @ Codeforces Technical Skills - Languages : Java | Golang | Python | Ruby | C++ | SQL Backend: Distributed Systems, Microservices, REST APIs, gRPC, Event-Driven Architecture, Fault Tolerance, Concurrency Database and Cache : MySQL | PostgreSQL | DynamoDB | Redis Infrastructure and Tools: Kafka, AWS (Lambda, CloudWatch, Cognito, SQS, EC2, S3, Bedrock), Docker, Kubernetes, Jenkins, Grafana, Prometheus, Datadog Frameworks and Libraries : Spring Boot | Quarkus | Rails | Hibernate | JUnit | Mockito

Location

Bengaluru

AI stack

claude code

cursor

Work experience

Software Engineer at CoinDCX, Apr 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, - Building and scaling low latency(OMS p99 < 50ms) , high-throughput (1M+ orders per day) Futures Trading Platform processing thousands of events per second. (~5k Rps)

Software Engineer at Swiggy, Feb 2025 - Apr 2025 · 3 mos, Remote, – Shipped the org’s first Rails reference for AWS RDS IAM DB Auth for the Instamart checkout service, eliminating 100% of static DB passwords while maintaining connect p99 within 0ms steady-state and ≥99.9% success rate. zero Sev1/Sev2 via 7-phase rollout with 5-min flag rollback.

Software Engineer at Thales Digital Identity and Security, Feb 2023 - Dec 2024 · 1 yr 11 mos, Noida, Uttar Pradesh, India, – Engineered an automated digital invoicing engine for a global SaaS platform, reducing customer wait times by 90% and eliminating manual overhead through end-to-end workflow automation. – Architected and deployed scalable RESTful Microservices using Java, Spring Boot and Quarkus on AWS Serverless, significantly improving backend throughput and system reliability. – Standardised cloud infrastructure management using AWS CDK, optimising resource allocation and reducing deployment cycles for critical SaaS modules like eSimAAS. – Reduced developer feedback loops and CI/CD latency by introducing Mock Services and comprehensive automated testing, ensuring 80%+ code coverage and high system availability. – Strengthened platform security posture by resolving critical vulnerabilities identified via SAST (Fortify) and Nexus IQ, ensuring compliance with enterprise-grade security standards.

Education

Bachelor of Technology - BTech, Information Technology, jaypee institute of information technology