Debraj Paul

Global, high-traffic media platform serving multiple brands with personalization, CMS, BFF services, and compliance-critical workflows.

• Built Node.js/TypeScript microservices for an in-house content platform powering Food Network, CNN, Eurosport, Magnolia, Golf Digest, and MotorTrend.
• Architected AWS-native infrastructure (Lambda, ECS, SQS, SNS) with Infrastructure-as-Code; designed Lambda-vs-ECS deployment trade-offs per service.
• Delivered a GraphQL Backend-for-Frontend for Food Network with auth, observability, and proactive monitoring.
• Integrated OneTrust to enable GDPR/CCPA user-data access, deletion, and auditability across 6+ services.
• Standardized REST and GraphQL API conventions adopted across teams; cut cross-team onboarding friction.
• Introduced distributed tracing (OpenTelemetry) and Redis caching, reducing DB pressure and improving incident MTTR.

Two of the systems I built here are walked through with architecture diagrams in the section below.

High-volume, event-driven integrations platform connecting POS systems, marketing, and user segmentation pipelines.

• Designed and built an event-driven integration platform connecting 10+ third-party POS systems using Kafka and Redis.
• Reduced transaction latency by ~50% through async pipelines, cache-aside, and partition-aware consumer scaling.
• Built customer segmentation on MongoDB + ElasticSearch, driving ~25% uplift in user conversions and ~15% bounce-rate reduction.
• Delivered three enterprise-grade microservices contributing to ~25% YoY revenue growth.
• Owned Kafka topic schemas and backward-compatible event evolution strategy.

Fintech P2P lending platform with automation, risk assessment, and compliance requirements.

• Built a P2P lending platform on Express.js + MongoDB + AWS; automated ~95% of credit workflows.
• Improved loan approval accuracy by ~25% via system-driven decision pipelines; cut end-to-end processing time by ~50%.
• Implemented OCR + facial recognition for KYC and an NLP-based scoring engine for risk analysis.
• Reduced communication errors by ~90%, lifting customer satisfaction by ~20%.