Kameshwar Maurya

Software Engineer

Bengaluru, Karnataka, India5 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Architected scalable payment infrastructure for 20,000+ users.
Reduced manual verification effort by 80% using AI.
Implemented real-time monitoring for payment gateways.

Stackforce AI infers this person is a Fintech expert with strong backend development skills.

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Skills

Core Skills

JavaSpring BootAws

Other Skills

PostgreSQLGoogle GeminiPrometheusDockerHibernateAWS TextractAWS Step FunctionsGoogle Calendar APICapacity ManagementShipping SystemsAudit ManagementWAMPLegal Document Automation20/20 TechnologiesPayment Gateways

About

Software Engineer with 4+ years of hands-on experience architecting and shipping microservices-based systems in production environments. Specialized in building scalable payment infrastructure, real-time communication platforms, and document processing systems serving 20,000+ users. Expertise in Java, Spring Boot, AWS services, and system design patterns.

Experience

5 yrs 8 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs 8 mos

Current Experience

Prosperr.io

Software Engineer

Oct 2021 – Present · 4 yrs 8 mos · Bangalore Urban · On-site

𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲
Architected a microservice abstraction layer unifying PhonePe and HDFC under a single interface, eliminating vendor lock-in - Built intelligent traffic routing (90% HDFC / 10% PhonePe) with real-time gateway health signals - Designed circuit breaker pattern with automatic failover — achieving 99.9% payment availability - Built idempotent webhook processing with cryptographic signature verification and exactly-once delivery guarantees - Implemented Prometheus metrics, structured JSON logging, and distributed tracing for full observability
𝗣𝗮𝘆𝘀𝗹𝗶𝗽 𝗣𝗮𝗿𝘀𝗶𝗻𝗴 & 𝗩𝗲𝗿𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻
Architected a two-stage AI pipeline — AWS Textract for raw text extraction, Google Gemini for structuring salary components - Designed AWS Step Functions workflow routing complete records to auto-approval and incomplete ones to human verification queue - Reduced manual verification effort by 80%
𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘆 𝗦𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺
Built end-to-end consultation booking platform centralising 100% of advisor scheduling - Integrated Google Calendar API for real-time availability sync, eliminating double-bookings - Implemented structured audit logging — capturing actor, action, timestamp, and data changes for every event
𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Java · Spring Boot · PostgreSQL · AWS (Textract, Lambda, Step Functions) · Google Gemini · Prometheus · Docker · Hibernate/JPA

JavaSpring BootPostgreSQLAWSGoogle GeminiPrometheus+2