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Engineering Consulting Catalogue

Solve production problems with engineering judgment.

Consulting is organized around business and engineering outcomes—not a list of products. Explore the challenges we help assess, the technical areas we review, representative engagements and the deliverables a client can expect.

Architecture-led Evidence-driven Production-aware
Engagement modes
ASSESS

Assess

Independent technical assessment of architecture, reliability, security, performance or operational readiness.

ARCHITECT

Architect

Reference architecture, design decisions, technology selection and implementation roadmap.

IMPLEMENT

Implement

PoCs, integration, migration, automation, optimization and selected hands-on engineering work where scope permits.

ADVISE

Advise

Ongoing technical advisory, architecture reviews, troubleshooting support and engineering guidance.

01ASSESS → DECIDE → ARCHITECT → ROADMAP

Architecture & Technical Advisory

Independent engineering guidance for organizations making architecture, platform, modernization or technology-selection decisions across connected systems.

Current-state architectureTarget-state designTechnology evaluationIntegration patternsResilience and operabilitySecurity boundariesCost / complexity trade-offs
02BASELINE → HARDEN → TUNE → OPERATE

Linux & Open Infrastructure

Design, review and troubleshoot Linux and open infrastructure with emphasis on reliability, security, performance and operational clarity.

Linux architectureService designStorage and filesystemsNetworkingSecurity hardeningPerformance engineeringObservability
03SOURCE → AUTOMATE → DELIVER → OPERATE

DevOps & Platform Engineering

Improve software delivery and platform engineering by connecting CI/CD, automation, containerization, Kubernetes and observability into an operable system.

CI/CD architectureInfrastructure automationContainer platform designKubernetes architecturePlatform engineeringObservabilityRelease / rollback
04INGEST → PROCESS → STREAM → SERVE → OPTIMIZE

Data Engineering & Big Data

Architect, modernize and troubleshoot distributed data platforms spanning Apache Spark, Kafka, Trino, orchestration and lakehouse technologies.

Data platform architectureApache Spark / PySparkKafka and event streamingTrino / distributed SQLLakehouse designAirflow / orchestrationData quality and observability
05DEVICE → BSP → OS → INTEGRATE → DIAGNOSE

Embedded Systems

Engineering support for embedded Linux platforms, BSP and device integration, system interfaces, performance and low-level troubleshooting.

Embedded Linux architectureBSP integrationBoot and startupDrivers and interfacesIPC / networkingPerformanceDiagnostics
06ANDROID → VEHICLE → HAL/VHAL → SERVICES → DIAGNOSE

Automotive & AAOS

Architecture, integration and troubleshooting support for Android Automotive OS and connected vehicle-platform engineering.

AAOS architectureCar Service and Car APIsVehicle PropertiesHAL / VHALAIDLPlatform integrationDiagnostics
07DISCOVER → ASSESS → HARDEN → VERIFY → OPERATE

Security Engineering

Engineering-focused security assessment and hardening across Linux, delivery pipelines, containers, Kubernetes, applications, APIs and AI systems.

Linux hardeningNetwork exposureDevSecOpsContainer / Kubernetes securityApplication / API securityCloud securityAI security
08PROTOTYPE → GROUND → EVALUATE → SECURE → OPERATE

AI Engineering

Move AI, LLM, RAG and agentic applications from prototype behavior toward measurable, secure and operable production systems.

AI / LLM architectureRAG and retrievalVector searchAgentic workflowsMCP / toolsEvaluationObservability
09LAND → CONNECT → SECURE → SCALE → OPERATE

Cloud & Platform Architecture

Architecture and modernization guidance for cloud infrastructure, platform services, networking, observability and workload migration.

Cloud landing architectureNetworking and connectivityIdentity and accessCompute / container platformsObservabilityResilienceMigration
Cross-domain problems

Real systems rarely fit inside one technology category.

A production issue may span Linux, networking, Kubernetes, security, data pipelines and AI. Engagements can combine domains when the system boundary requires it.

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