Denisi Valence
Systems Engineer
I engineer production systems built for scale, reliability, and measurable operational outcomes.
Projects
Check out some favorite
recent production systems.
What I Build
Full scope across
backend, automation, and data
Engineering
Distributed backends, bounded services, and production architecture engineered for clarity, security, and load.
Scope
- Microservice and modular backend architecture
- Contract-first APIs, schemas, and service boundaries
- Event-driven communication with idempotent handlers
- Identity, authorization, and access control across services
- Distributed transaction patterns with compensation on failure
- High-availability design with failure isolation and graceful degradation
- Database design, migrations, and consistency under operational load
- Caching strategies and hot-path performance optimization
- Third-party integration with retries, timeouts, and circuit breakers
- CI/CD pipelines, container deployment, and runtime hardening
- Custom metrics, dashboards, and release-tracked observability
My Services
Production systems across
backend, automation, and data
Multi-agent orchestration with RAG, human-in-the-loop gates, tool use, and LLM-agnostic integration layers for production agent workflows.
Event-driven microservices with saga patterns, idempotent transaction state machines, service-to-service auth, and bounded services under load.
Contract-first execution engines with graph scheduling, retry orchestration, recovery checkpoints, and multi-surface SDK delivery.
Streaming ingestion with multi-source fusion, tiered transformation layers, geospatial query support, and signals teams can act on.
Wallet ledgers, payment state machines, audit trails, risk scoring, step-up authentication, and third-party gateway integration.
Containerized environments with IaC, CI/CD pipelines, runtime hardening, and enterprise workflow automation across deployment targets.
Metadata-only telemetry, custom metrics, dashboarding, and release-tracked error reporting for distributed production systems.
Process
From problem definition
to production systems
Delivery Flow
Discover problems, design solutions,
build safely, and operate in production.
Discover
Clarify the problem and success criteria
Clarify the problem and success criteria
Discover
Design
Design architecture before coding
Design
Design architecture before coding
Build
Build, test, and deploy through staging
Build, test, and deploy through staging
Build
Operate
Monitor, respond, improve production
Operate
Monitor, respond, improve production
Core Stack
Technologies chosen for
production system fit
Rust and Python
High performance backend services
TypeScript and React
Product UIs and SDK surfaces
FastAPI and Django
Maintainable APIs and service layers
Spring Boot
Enterprise JVM microservices
Kafka and Spark
Event streaming and batch pipelines
PostgreSQL and PostGIS
Relational and spatial data storage
LangChain and RAG
Agent workflows and LLM retrieval
Docker and Kubernetes
Containerized Cluster Deployments
Years of experience in systems engineering and production software development
95%
Client satisfaction rate built on trust and results.