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PORTFOLIO /CASE STUDIES · ARCHITECTURE DECISIONS

Engineering decisions under real constraints.

I care less about how many projects I can list and more about what the difficult engineering decisions were. These studies focus on constraints, architecture decisions, trade-offs, and failure modes under realistic engineering conditions.

CASE STUDY · 01IDENTITY & SECURITY ARCHITECTURE
CASE STUDY IN PREPARATION

Designing trust for a distributed enterprise licensing platform

Proposed architecture for securely connecting customer-hosted software, cloud services, licensing data, user identity, and machine identity across constrained network boundaries.

Role: Staff Software Engineer · Systems ArchitectureFocus: Identity Topology & Trust Boundaries
.NETOAuth 2.0 / OIDCOpenIddictPKCEMachine IdentityAzureSecurity Architecture
Detailed write-up in preparation
TOPOLOGY PREVIEWFIG. 01
CUSTOMER-MANAGED ENVIRONMENTCustomer ClientInteractive App · PKCE Auth CodeLocal Machine AgentInstallation Identity · Machine SecretOIDC / TLS TOKEN EXCHANGEPROPOSED CLOUD PLATFORMIdentity Service (OpenIddict)Token Minting · Asymmetric SigningLicense & Cloud APIToken Validation · Entitlement Enforcement
CASE STUDY · 02DISTRIBUTED SYSTEMS & DATA PIPELINES
CASE STUDY IN PREPARATION

Designing a reliable telemetry pipeline for globally distributed clients

A queue-backed telemetry architecture designed for sustained ingestion, controlled processing, analytical querying, and resilience across geographically distributed installations.

Role: Staff Software Engineer · Systems ArchitectureFocus: Distributed Systems & Ingestion Decoupling
RabbitMQ.NETClickHousePostgreSQLDockerObservabilityDistributed Systems
Detailed write-up in preparation
TOPOLOGY PREVIEWFIG. 02
STAGE 1 // DISTRIBUTED EDGESDistributed Client FleetBatching · Local SQLite Buffer · HTTPSHTTPS INGESTIONSTAGE 2 // INGESTION & BUFFERIngestion GatewayStateless Auth & Rate LimitingRabbitMQ BufferBackpressure Cushion · AMQP QueueCONTROLLED CONSUMESTAGE 3 // STORAGE DUALITYClickHouse Analytical StoreColumnar Metrics · Micro-Batch AggregationsPostgreSQL & Dead-Letter QueueTransactional Licensing & Poison Isolation
RESEARCH EXPLORATION · 03AI SYSTEMS & VERIFICATION
RESEARCH IN PREPARATION

Exploring verifiable execution for AI-driven systems

An architecture exploration into separating non-deterministic model generation from deterministic calculations, tool traces, and tamper-evident audit records.

Role: Independent Research · Systems ExplorationFocus: Traceability & Deterministic Verification
AI SystemsOpenTelemetryTraceabilityAgentsVerificationArchitecture
Detailed write-up in preparation
TOPOLOGY PREVIEWFIG. 03
VERIFIABLE AI // TRACE LINEAGEAI Agent / LLMReasoning Engine · Probabilistic SynthesisDeterministic Validation GateConstraint Verifier · Fact SeparationStrict Schema & Deterministic ComputationTrace Store (OpenTelemetry)Distributed Spans · Decision Lineage · TimestampsEXECUTION TRACE LOG SAMPLEspan_id: 8f4c · status: VERIFIEDassertions: 12/12 passedtool: query_pricing_v2 · latency: 42ms
RESEARCH EXPLORATION · 04RESEARCH & PREDICTIVE SYSTEMS
RESEARCH IN PREPARATION

Building an evaluation-first pipeline for predictive models

A research architecture for time-series evaluation that prioritizes leakage prevention, walk-forward cross-validation, and probability calibration over cosmetic backtests.

Role: Independent Research · Evaluation DisciplineFocus: Temporal Leakage & Calibration
PythonTime SeriesEvaluationCalibrationData EngineeringResearch
Detailed write-up in preparation
TOPOLOGY PREVIEWFIG. 04
PURGED WALK-FORWARD EVALUATIONIn-Sample Training WindowT₀ → T₁ · Feature Engineering & Model FittingPURGE & EMBARGO GAPPrevents Look-Ahead & Overlapping Horizon LeakageOut-of-Sample Test WindowT₂ → T₃ · Blind Validation SplitCalibration & Performance MetricsIsotonic & Platt Probability ScalingBrier Score: 0.142 · Log Loss: 0.418✓ Zero Look-Ahead Bias Verified