Senior Backend Engineer focused on distributed systems, data platforms, and cloud-native architectures.

I enjoy building systems that move and process data reliably at scale — especially database-heavy systems, event-driven architectures, and backend platforms.

Currently exploring deeper work in:

• distributed systems architecture
• streaming data platforms
• database internals
• AI-powered developer tooling

• Senior Backend Engineer
• Experience working on large enterprise platforms
• Strong focus on backend reliability and distributed systems
• Passionate about database architecture and event-driven systems

Industry experience includes working on systems used in:

• aerospace
• enterprise platforms
• cloud-native services

I believe good systems should be:

• Simple before clever
• Observable before scalable
• Reliable before fast

The best backend systems come from understanding:

• data flow
• failure modes
• system behavior under load

My engineering work typically focuses on:

• distributed backend services
• streaming data pipelines
• event-driven architectures
• database performance
• scalable system design

Distributed microservices system demonstrating patterns such as:

• event sourcing
• saga pattern
• idempotent consumers
• message retries

Tech

.NET
Kafka / RabbitMQ
PostgreSQL
Docker

Real-time data movement pipeline.

Architecture

SQL Server
   │
CDC
   ▼
Debezium
   ▼
Kafka
   ▼
.NET Consumer
   ▼
CosmosDB

Focus areas

• exactly-once processing
• schema evolution
• event replay

Natural language interface for relational databases.

Architecture

User Query
     │
     ▼
LLM (SQLCoder)
     │
     ▼
Query Validation Layer
     │
     ▼
PostgreSQL

Focus

• schema reasoning
• safe query generation
• AI-assisted data access

• C#
• Go
• SQL
• JavaScript
• Python

• .NET
• ASP.NET Core
• gRPC
• background services

• SQL Server
• PostgreSQL
• DynamoDB
• CosmosDB
• Redis

• Kafka
• RabbitMQ
• Debezium
• Change Data Capture

• AWS
• Docker
• Kubernetes

I have contributed to several patented innovations related to distributed systems and cloud security.

• 3 granted patents
• 1 patent pending

• distributed systems design
• event streaming architectures
• database internals
• backend reliability
• system scalability
• developer productivity tools

I enjoy writing about:

• backend engineering
• system design
• database architecture
• distributed systems

What is the simplest architecture that can reliably move data between systems without losing consistency?

If you enjoy discussing backend architecture, distributed systems, or databases, feel free to connect.