Backend engineer building production-grade distributed systems at scale. At Kanaka Software, I engineer a forex treasury management platform serving 16,000+ clients across swaps, spot, tom/cash, and forward contracts — owning real-time trade execution, post-trade settlement, and platform-wide infra services.
- High-throughput pipelines — Reduced a data ingestion job processing 81K API calls from ~269 days → 6 hours (>99.9% improvement) via nested parallelism and HTTP/1.1 upgrade
- Distributed backends — Event-driven microservices, Saga orchestration, CQRS, transactional outbox, distributed caching — engineered for correctness under failure
- Fintech infrastructure — Payment systems, ledger design, reconciliation engines, fraud detection pipelines, OAuth2/OIDC multi-IdP federation, AES encryption at rest
- Greenfield services — Notification engine, email pipeline, distributed Quartz scheduler, document management system (1,000+ encrypted docs/month), custom DB-to-DB integration engine replacing AWS DMS
AegisPay — Event-Driven Fintech Platform
Production-grade payment infrastructure built from the ground up.
Java 21 Spring Boot 3.3 Apache Kafka PostgreSQL ClickHouse Redis Kubernetes ArgoCD AWS EKS
- 10 microservices over 18 Kafka topics (KRaft) with 5-step Saga orchestration, compensating transactions, and exactly-once delivery via transactional outbox
- Stripe PaymentIntents + 3DS, multi-IdP OAuth2/OIDC (Keycloak / Entra / Okta), zero-trust JWT relay, dual-key Redis token-bucket rate limiting
- Spring Batch reconciliation comparing ledger COMMITs against Stripe Balance Transactions API — catching MISSING_IN_STRIPE, MISSING_IN_LEDGER, AMOUNT_MISMATCH
- 4 AI components — RAG fraud copilot (pgvector + Claude), agentic incident triage, multimodal KYC/OCR, LLM error resolution — all with AI audit log for RBI/DPDP compliance
- GitOps on AWS EKS via ArgoCD, umbrella Helm chart across 3 environments, GitHub Actions parallel CI/CD, secrets via HashiCorp Vault + ESO, full distributed tracing (W3C → Micrometer → Prometheus → Grafana)
Backend & Architecture
Databases & Streaming
Cloud & DevOps
Observability & Security
AI & LLM
| 16,000+ | clients on the forex treasury platform |
| >99.9% | pipeline runtime reduction — ~269 days → 6 hours |
| 81,000 | API calls re-engineered with nested parallelism + HTTP/1.1 |
| 800ms → 200ms | p95 API latency after N+1 fix + composite indexes + distributed cache |
| 1,000+ | AES-encrypted documents delivered per month |
| 5 | greenfield services built and owned end-to-end |
| 10 | microservices in AegisPay with exactly-once delivery guarantees |
| 1 | AWS certification — Data Engineer Associate, Oct 2025 |
AWS Certified Data Engineer — Associate · Amazon Web Services · Oct 2025
linkedin.com/in/shreyasshelar · shreyasshelarrr@gmail.com · Pune, India
