Java · Spring Boot · Distributed Systems · Kafka · Cloud (AWS/Azure) · FinTech

Backend Software Engineer with 3+ years of experience architecting high-throughput distributed systems in FinTech. I build production-grade services that process 37M+ requests/day across 5M+ customers, orchestrate Kafka event pipelines, and scale across multi-cloud (AWS, Azure, Oracle Cloud).

Currently at Jupiter Money building a Customer Segmentation and Real-Time Decisioning Platform, driving cloud-agnostic backend migrations, and reducing infrastructure costs by $17K+/month.

Vishwakarma Institute of Information Technology (2021 – 2025) B.Tech in Artificial Intelligence and Data Science Engineering — CGPA: 8.98

• Built and scaled Customer Segmentation and Real-Time Decisioning Platform serving 37M+ requests/day across 5M+ customers through Kafka-based event processing and Elasticsearch feature serving, increasing targeted cross-product acquisition by 60%
• Improved onboarding conversion by eliminating terminal-state, retry-loop, and stale-state failures across PPI, VKYC, and eKYC journeys, reducing customer complaints by 40%
• Led backend modernization for PPI and Java 25 migration, building cloud-agnostic services for multi-cloud deployments across AWS and Oracle
• Built automated onboarding recovery platform leveraging WhatsApp engagement and CKYC remediation workflows, increasing successful onboarding conversions by 14%
• Reduced infrastructure costs by $17K+/month through workload optimization, resource governance, and architecture improvements while maintaining SLA compliance

• Designed and implemented Daily Settlement Engine for automated payment reconciliation, improving settlement accuracy 35% and reducing storage redundancy 40%
• Built Kafka-driven transaction orchestration platform integrating external BBPS systems, reliably processing 40,000+ transactions/hour through asynchronous event-driven workflows
• Built LLM-powered customer support system integrating retrieval-based knowledge search, automating 40% of queries while improving resolution accuracy 35% and reducing resolution time 25%

Festival navigation web app — Next.js, Firebase, Leaflet.js

• City-scale navigation enabling discovery of 150+ Ganpati pandals with precise locations, aarti timings, and photos
• 5,000+ concurrent users at peak, 99.9% uptime
• Automated CI/CD via GitHub Actions and webhook-driven deployments

Airline reservation system — Java, Spring Boot, MySQL, Multithreading

• Backend-driven system supporting flight scheduling, passenger management, ticket booking, and cancellation workflows
• REST APIs with Spring Boot and MySQL for persistent storage of flight, booking, and passenger records
• Thread-safe seat allocation engine using Java Concurrency and synchronization, preventing double bookings under 100+ concurrent requests

• Vice President, NSS VIIT (2023–24): Built and deployed the NSS Platform, engaging 3,500+ users and increasing blood donation participation by 25%
• Published an IEEE research paper on Next Word Prediction using NLP at NIT Rourkela
• Qualified for Google Hash Code 2022
• Conference Out, TES-46 SSB: Among the top 10 out of 400 cadets

(Coming soon)

• Idempotency & Resilience — every message processed exactly once, every failure caught by a circuit breaker
• Observability — if you can't measure it, you can't debug it (Grafana dashboards for everything)
• Clean Architecture — layered, testable, and independently deployable microservices
• Cost-Aware Design — I optimize cloud spend as aggressively as I optimize latency

Available for SDE I / Backend Engineer roles — open to Bangalore, Pune, Mumbai, and remote.
Reach out: work.riteshgodse@gmail.com | +91-8983100889