Fintech, Event-Driven Systems & AI Workflows
Core
Fintech Systems
Core
Queue-Driven Architecture
Core
KYC & Payment Integrations
Specialization
Node.js Ecosystem
Focus
Scalable Systems
I am a Backend Engineer focused on building reliable systems for fintech products, event-driven infrastructure, and AI-powered automation backends using Node.js and TypeScript.
My work sits at the intersection of payment-adjacent API design, asynchronous queue architecture, and production-grade AI workflows. I care about correctness before velocity: clean auth boundaries, idempotent operations, webhook integrity, and async reliability patterns that hold under real provider variability.
I have delivered systems across consumer fintech, B2B operations, admin control planes, notification infrastructure, microservice platforms, and AI agent backends - each with different constraints but the same standard: production discipline from day one.
I design systems for growth without architectural rewrites, keeping services maintainable as product scope expands.
I treat auth boundaries, signature validation, and verification-sensitive routes as foundational architecture decisions.
I focus on async isolation, idempotent operations, and predictable processing paths under provider variability.
Specialized in the Node.js ecosystem, I build systems optimized for speed, security, and long-term maintainability.
Building the engine of high-performance applications.
Scalable storage & caching.
Handling load with queues.
Production-grade AI workflow backends.
Safe & reliable deployments.
Built and maintained backend systems across fintech APIs, async workflows, and provider integrations.
Delivered backend systems across microservices, AI workflows, fintech verification, and realtime collaboration.
Backend platform serving consumer, B2B, and admin surfaces in a regulated fintech environment. The core challenge was building API reliability around external provider variability: payment callbacks, KYC verification gates, and messaging delivery - all requiring correct behavior even under partial failures.
Primary Stack
Reliability
Webhook validation with signature verification and idempotent state transitions.
Async
Bull/BullMQ-backed processing to decouple API latency from provider-dependent operations.
Notifications
Queue-first multi-channel infrastructure with per-channel workers and DLQ handling.
Campaigns
Producer/worker fanout with lifecycle controls and quota enforcement.
System Impact
"Built a layered fintech backend where auth boundaries, async isolation, and provider abstraction are first-class architectural concerns."
Designed and developed a full microservices platform with six independently deployable domain services handling identity, mission orchestration, wallet/reward operations, notification delivery, and resource management.
Primary Stack
Architecture
Six bounded domain services with explicit service contracts and Docker-based multi-service deployment.
Communication
Synchronous HTTP inter-service clients and asynchronous BullMQ queues for decoupled event propagation.
Security
JWT-based auth federation, RBAC controls, and agent lifecycle management.
System Impact
"Delivered a domain-separated microservice backend with clean event boundaries across mission, reward, and notification workflows."
Multi-tenant loyalty backend serving isolated brand environments on a shared operational core, including program accumulation logic, reward catalog management, and redemption transaction workflows.
Primary Stack
Isolation
Logical tenant separation across programs, budgets, and reward catalogs.
Processing
Worker-thread offloading for compute-heavy program and points calculations.
Workflows
Redemption, order fulfillment, and campaign/challenge lifecycle management.
System Impact
"Delivered a multi-tenant loyalty engine with domain-rich reward and redemption workflows designed for enterprise operational scale."
Admin and scraping backend for automated ingestion of smartphone specs and review data from external sources into moderated admin datasets, using queue-backed async execution for long-running scraping jobs.
Primary Stack
Concurrency
Bull queue orchestration with worker execution for async scraping tasks.
Resilience
Retry logic and controlled failure handling for unstable third-party sources.
Storage
Structured ingestion into MongoDB with admin-side moderation and control APIs.
System Impact
"Automated external data ingestion workflows, eliminating manual data entry through queue-backed async scraping execution."
Production-grade agentic backend built from scratch that converts natural language intents into scheduled, multi-platform content operations. Unlike a basic prompt endpoint, this system treats LLM orchestration as a backend engineering problem: tool execution, scheduling, deduplication, and state persistence.
Primary Stack
Orchestration
LangGraph/LangChain state machine for intent to plan to tool execution pipelines.
Reliability
Hash plus semantic deduplication to prevent duplicate content operations.
Scheduling
BullMQ-powered job scheduler with daily, weekly, and interval lifecycle controls.
Integrations
Telegram API and multi-platform social channel delivery.
System Impact
"Built a production-safe AI agent backend where LLM orchestration, scheduling control, and operational persistence are first-class engineering concerns - not just a demo wrapper around an API."
Whether you're scaling a FinTech product or need a robust microservices architecture, I'm here to help. I typically respond within 4 business hours.
Availability
Currently accepting new projects
