Engineering services
Focused diagnosis and controlled engineering changesContract engineering
Si-Jam helps when a product or infrastructure has become difficult to change safely: unclear legacy behavior, fragile builds, missing tests, manual releases, unreliable integrations, or an operational setup that depends on one person's memory.
Work can begin with a focused audit, a failing component, or a bounded implementation task. The scope and acceptance evidence are agreed before expanding the work.
Embedded / IoT
Firmware, hardware-facing libraries, and reliable data paths
Low-level development
C and C++ firmware, device interfaces, drivers, protocol handling, and integration with existing hardware and application layers.
Legacy diagnosis
Trace data ownership from interrupt and peripheral code through buffers, schedulers, and application callbacks before changing behavior.
Reliability work
Explicit error and overflow behavior, native contract tests, target build matrices, hardware gates, and reproducible failure scenarios.
Reusable foundations
Clear APIs, isolated platform-specific backends, documented lifetime and ownership rules, and incremental migration from old implementations.
Linux
Systems and integration development
- Linux services, utilities, build systems, and automation
- Network and device integration across embedded and server environments
- Cross-platform C/C++ builds with CMake and native tests
- Diagnosis based on runtime state, logs, protocols, and real data flow
Build and delivery infrastructure
Infrastructure around the engineering work
- GitLab CI/CD, reproducible builds, immutable image versions, and multi-architecture pipelines
- Docker and Kubernetes where they are justified by the product and operating environment
- Diagnosis of build, deployment, networking, and runtime failures
- Relevant build, verification, update, and recovery documentation
Adjacent experience
Capabilities used when the task crosses system boundaries
These supporting competencies are useful when embedded or Linux work touches application data, an existing backend, or a companion Android interface. For a bounded product with a suitable scope, the work can also cover the full path from concept and visual design to implementation and publication, as demonstrated by GeldPlan.
Android product experience
Kotlin, Jetpack Compose, local persistence, migrations, backup/restore, localization, visual design, and Google Play release work through GeldPlan.
Backend and databases
Service integration, APIs, SQL data models, migrations, data audits, and careful bootstrap or recovery of operational datasets.
Existing products
Targeted diagnosis and incremental improvement when replacing the whole system would be expensive, risky, or unnecessary.
Release considerations
Build reproducibility, test boundaries, privacy and store requirements, acceptance checks, and relevant documentation.
Working model
A practical sequence with visible results
- Context: establish the current state, constraints, risks, and the first observable failure or business goal.
- Boundary: define a small first increment and its acceptance criteria before broad implementation.
- Delivery: work in reviewable stages with tests, runtime evidence, and explicit unresolved questions.
- Continuity: record the build, verification, and operational knowledge relevant to the agreed change.
Experience
Engineering perspective built since 2002
Si-Jam's engineering background combines data networks and Linux/Unix operations, database architecture and ERP backends, embedded software and reusable hardware libraries, technical leadership, CI/CD, and production infrastructure. That breadth is useful when a failure crosses component boundaries instead of fitting neatly into one technology.