Backend Engineer in fintech & digital assets.
I build production-grade custody, wallet infrastructure, and RWA/tokenization rails on EVM/L2 ecosystems.
About
I’m a Backend Engineer specialized in fintech and digital assets. I’ve worked across investments, credit, BNPL, digital banking, commodities, and crypto — with a strong focus on production-grade digital-asset custody, wallet infrastructure, and RWA/tokenization platforms.
I design and build secure, high-throughput, compliance-aware financial systems on EVM chains and L2 ecosystems, integrating KYC/AML, settlement, and orchestration layers end-to-end. I enjoy turning legacy finance workflows into programmable rails that improve capital efficiency and user experience.
- 🧱 Focus: Digital-asset custody, tokenization platforms, settlement & indexing backends
- 🔐 Principles: Security first, compliance-aware design, reliability at scale
- ⚙️ Stack at a glance: Java/Spring Boot • TypeScript/NestJS • Go • Kafka/RabbitMQ • Redis • Postgres/MySQL • MongoDB • Elasticsearch • Docker • AWS • Grafana/Loki
- Custody & Wallet Infrastructure
- Secure wallet services, policy engines, signing workflows
- MPC/HSM-aware designs, key lifecycle & access controls
- RWA / Tokenization Rails
- Tokenized funds, bonds, commodities, real-estate-like RWAs
- Programmable coupon/interest, settlement & distribution flows
- High-Throughput Fintech Backends
- Event-driven microservices, idempotent processing, auditability
- Indexer / intelligence layers for on-chain + off-chain data
- Compliance-Aware Architecture
- KYC/AML integration patterns, jurisdictional constraints
- Traceability without sacrificing product UX
Languages
- Java (primary), TypeScript/JavaScript, Go
Backend Frameworks
- Spring Boot (microservices, DDD/hexagonal, event-driven backends)
- NestJS (API gateways, orchestration, blockchain-facing services)
Messaging & Streaming
- Apache Kafka (high-throughput event pipelines, exactly-once-ish patterns)
- RabbitMQ (workflow orchestration, task queues)
Data Stores & Search
- Postgres, MySQL (ledger-friendly relational modeling)
- MongoDB (document/event stores)
- Redis (caching, rate limits, distributed locks)
- Elasticsearch (search + analytics on fintech/on-chain data)
Infrastructure & DevOps
- Docker
- AWS (VPC, ECS/EKS, S3, RDS, SQS/SNS, IAM)
- CI/CD patterns (blue/green, canary, idempotent deploys)
Observability
- Grafana + Loki (logs)
- Metrics/tracing-first debugging mindset
Testing
- JUnit, Mocha, NUnit (unit + integration + contract tests)
Most of my production work is private/internal, but I’m always happy to discuss architecture and patterns.
- Correctness over cleverness
- Deterministic + auditable flows
- Security as a product feature
- Boring reliability
- Rust for low-level blockchain services & smart contracts
- ZK-friendly tokenization / compliance patterns
- Pay-per-request & on-chain billing primitives


