I build infrastructure, backend, and AI systems that have to remain reliable under real traffic, operational complexity, and imperfect requirements.

Over the past seven years, I have worked on high-traffic products serving 50M+ users, led backend engineers, improved production throughput, and built systems across distributed services, developer infrastructure, and applied AI.

My public work includes merged contributions to Django and LangChainGo. Most of my recent engineering work lives in private company repositories with private accounts, so the projects below are selected examples of how I approach architecture, performance, reliability, and implementation.

1. Python: backend systems, automation, Django, FastAPI, and AI infrastructure
2. Go: concurrent services, infrastructure tooling, gRPC, and platform components
3. AWS: account provisioning, IAM, networking, serverless systems, and platform automation
4. PostgreSQL and Redis: production data systems, optimization, caching, and coordination
5. Kafka: event-driven architecture and asynchronous service communication
6. Observability: OpenTelemetry, Prometheus, Grafana, Datadog, Sentry, and ELK

• Guardian: A Go-based microkernel for extensible LLM guardrails, quota enforcement, and policy plugins.
• People Match Engine: A graph- and embedding-based system for matching professionals using FastAPI, FAISS, and Redis.

• Django: Added URL-pattern validation and improved the usability of migration output.
• LangChainGo: Implemented FewShotPrompt with test coverage.

I take on selected engagements involving:

• Backend architecture and distributed systems
• Performance, scalability, and reliability reviews
• Production AI and LLM infrastructure
• Technical design and implementation of complex backend products
• Diagnosis and modernization of difficult existing systems

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