About Me

Hi! I'm Alexander Godwin, a backend engineer passionate about building scalable, distributed systems and solving complex infrastructure challenges. I specialize in architecting production-grade platforms that handle real-world scale.

What I Do

I build robust backend systems with a focus on distributed architectures, real-time messaging, and cloud-native infrastructure. My work spans from secure messaging platforms with end-to-end encryption to high-throughput job processing systems handling 30k+ requests.

Currently, I'm developing Octo Router, a production-ready LLM router built in Go that intelligently routes requests across multiple AI providers with cost-based routing, fallback chains, and comprehensive observability.

Technical Expertise

Languages & Frameworks

  • Node.js, TypeScript, JavaScript
  • Go, Python
  • Express.js, Nest.js, Socket.io
  • GraphQL, React

Databases & Messaging

  • PostgreSQL, MongoDB, Redis
  • Elasticsearch, MySQL
  • RabbitMQ, BullMQ
  • Redis pub/sub

Cloud & Infrastructure

  • Kubernetes, Docker, AWS EKS
  • AWS (S3, EC2, Lambda, Fargate)
  • Terraform, Helm
  • GitHub Actions CI/CD

Observability

  • Prometheus, Grafana
  • Loki, ELK Stack
  • Custom metrics & alerting

Featured Projects

TaskForge - Distributed Task Processing System

A production-grade microservices platform demonstrating modern distributed systems patterns. Built to handle 30k+ requests with horizontal autoscaling on AWS EKS.

Architecture: The system consists of 7 microservices including an API gateway (TypeScript), WebSocket status gateway, outbox publisher for event sourcing, and specialized workers for PDF generation (Python), image resizing (Go), video compression (Python), and Chromium rendering (TypeScript).

Technical Highlights:

  • Implemented outbox pattern for reliable event delivery between services with PostgreSQL
  • Architected priority queue system with Redis-backed state management and RabbitMQ message broker
  • Deployed comprehensive observability stack (Prometheus, Grafana, Loki, AlertManager) monitoring 15+ custom metrics
  • Kubernetes orchestration with init containers, liveness/readiness probes, and resource limits
  • Circuit breaker pattern for resilience and dead letter queues for failed messages
  • Hybrid database approach: Prisma for schema management and Knex for high-performance queries

Dropbet - Telegram Betting Platform

A real-time betting platform built on Telegram with 8K+ active users placing bets on simulated games. Features distributed job processing and an automated game engine.

Technical Implementation:

  • Redis pub/sub and BullMQ multi-step job processing for distributed bet placement, game simulation, and settlement
  • Automated game engine with CRON jobs for continuous virtual match creation and community-customized games
  • Real-time updates and notifications via Telegram bot API
  • GitHub Actions CI/CD pipeline with zero-downtime releases and automated rollbacks
  • Scalable architecture handling thousands of concurrent betting operations

Current Focus

I'm currently exploring the intersection of AI and infrastructure, diving deep into:

  • AI agents and LLM orchestration
  • Context engineering and prompt optimization
  • Distributed systems patterns and architectures
  • Building tools that make AI more accessible and cost-effective

Get in Touch

I'm always open to interesting conversations about distributed systems, backend architecture, or AI infrastructure. Feel free to reach out via email or connect with me on GitHub, LinkedIn, or Twitter.