Data Fitness
Validates requirements through data models and state transitions to set storage and query boundaries that fit the domain.
Backend Engineer
Designing backends where data stays aligned
I can work full-stack, but my center of gravity is backend engineering. I validate requirements through data models and state transitions, design idempotent flows that tolerate retries and duplicate requests, and look for concurrency, missing-data, and inconsistency edge cases before they reach production.
Core Strengths
Idempotent Flows
Designs idempotent processing so retries, duplicate requests, and asynchronous events do not change the final outcome.
Edge Cases
Builds operable backends by looking past the happy path into permissions, concurrency, missing data, and inconsistent states.
Tech Stack
Kotlin
Java
Spring Boot
Python
FastAPI
Redis
Kafka
RabbitMQ
PostgreSQL
MySQL
Docker
KubernetesTerraform
OCI
RAG Pipelines
Backend Design Lens
I look at API boundaries, transactions, async workflows, and observability together so requests, state, and data stay aligned.
Domain & API
Kotlin
Spring Boot
Validation
Data Layer
PostgreSQL
Transactions
Consistency
Async & Ops
Redis
Kafka
Observability
Data Fitness
Domain model / constraints
Idempotency
Retries / duplicate requests
Edge Cases
Concurrency / missing data
Operating Services
Backend systems shaped for operation
A compact map of work shaped around data models, API boundaries, asynchronous processing, and operating infrastructure.
