// ARCHITECTING HIGH-AVAILABILITY SYSTEMS

Distributed
Reliability.

Engineering massive-scale cloud architectures with zero-single-point-of-failure logic. I turn operational chaos into orchestrated stability.

99.999%

Availability Design

2.5M+

Concurrent Req/Sec

<50ms< /h3>

P99 Global Latency

01 // TOPOLOGY

Systems Thinking.

My approach begins at the macroscopic level. I view infrastructure not as a collection of servers, but as a living ecosystem of data flows, state machines, and feedback loops.

Specializing in Event-Driven Architectures and Service Mesh orchestration for Fortune 500 fintech and global retail platforms.

Core Competencies:

  • Multi-Region Active-Active
  • Kubernetes Federation
  • Chaos Engineering
  • Zero-Trust Networking
02 // RELIABILITY STACK

Infrastructure DNA

Cloud Orchestration

Advanced Terraform and Pulumi workflows for multi-cloud (AWS/GCP) environments with automated drift detection.

Security

mTLS, Vault management, and automated IAM hardening.

Observability

OpenTelemetry pipelines with Prometheus & Grafana.

Data Persistence

CockroachDB and Cassandra for globally distributed state.

Message Brokers

High-throughput Kafka clusters and RabbitMQ exchanges for decoupled microservices.

Containerization

Deep K8s operator patterns and Istio service mesh.

03 // SYSTEMS ARCHIVE

Case Studies

Fintech // 2025

IronBank Core

Designed a transaction processing engine capable of 500k TPS with strict ACID compliance across 3 geographic regions.

K8s Kafka Go
Streaming // 2024

Nebula CDN

Architected a custom Edge-computing layer using WebAssembly to minimize latency for real-time video processing.

Wasm Rust Redis
04 // PROCESS FLOW

The Workflow

01

Discovery

Load profiling and SLO definition.

02

Modeling

C4 modeling and sequence diagrams.

03

Prototyping

PoC of critical data paths and bottlenecks.

04

Chaos Test

Simulated failures to verify self-healing.

05

Deployment

Canary rollout with automated rollbacks.