Building Pulse: A Type-Safe Business Logic Framework
How I built a production framework for centralizing business logic with full type safety, async execution via BullMQ, and comprehensive error handling.
Co-Founder & Technical Lead
Product Engineer
Team Lead, Backend Engineer
Lead Backend Engineer
Backend Engineer
Backend Engineer
Backend Engineer
LLM integrations, RAG pipelines, vector databases (Pinecone, Weaviate), prompt engineering, and AI-powered product features at scale.
Payment processing systems, transaction reconciliation, ledger architecture, regulatory compliance, and financial data pipelines.
Microservices with gRPC, event-driven systems with Kafka/RabbitMQ, distributed locking, CQRS, saga patterns, and high-throughput data processing.
AWS infrastructure (ECS, Lambda, S3, RDS, SQS, SNS), serverless architectures, auto-scaling, IaC with Pulumi/AWS CDK, and cost optimization.
Docker/Kubernetes orchestration, GitHub Actions, Jenkins pipelines, infrastructure as code, monitoring with Datadog/CloudWatch, and zero-downtime deployments.
TypeScript/Node.js, NestJS, Hono, PostgreSQL/MySQL optimization, Redis caching strategies, API design, and real-time systems with WebSockets.
Type-safe business logic framework built on BullMQ that handles both synchronous and asynchronous operations. A typed RPC system with built-in queuing for centralized action execution.
Creator & Maintainer
TypeScript, BullMQ, Redis, Zod
How I built a production framework for centralizing business logic with full type safety, async execution via BullMQ, and comprehensive error handling.
Lessons learned architecting financial systems with zero tolerance for errors using idempotency, race condition prevention, and atomic operations.
How we built a multi-model AI system using GPT-4, Claude, and Gemini to automate lead qualification and reduce manual work by 80%.