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Christopher Crilly Pienaah

Applied ML & Agentic AI Engineer

Engineering robust multi-agent systems, scalable machine learning pipelines, and secure model governance architectures. Specialized in LangGraph workflows, real-time data ingestion, and OSFI E-23 compliance.

PythonLangGraphLLMsMLOpsDockerPostgreSQL
Verified: 5-Day AI Agents Intensive with Google
AI Governance Platform

Enterprise AI Governance Control Tower

Coordinated via Google ADK (Agent Development Kit), this multi-agent supervisor orchestrates specialized workers using Model Context Protocol (MCP) interfaces to enforce model compliance with Canadian **OSFI Guideline E-23** model risk management standards.

Specialized Agents
ADK Orchestration Framework

Google ADK acts as the supervisor model core. It reads worker schemas, handles thread locks, validates JSON configurations, and manages validation feedback loops.

Regulatory Intelligence Agent

adk_pattern: Supervisor -> Worker (Read-Only)
Role & Prompt Scope

Monitors updates in regulatory guidelines (OSFI E-23, SR 11-7) and updates evaluation vector mappings.

Deep Technical Scope

Autonomous crawler and embedding processor that continuously monitors OSFI updates. It converts legal PDF text chunks into structured vectors in ChromaDB, flagging changes that require adjustments to compliance checklists.

MCP Tool Interface
get_latest_guidelines()
query_regulatory_vectors(topic)
Validation Metrics
Mapping Latency: < 200ms
Regulatory Vector Sync: 100%
OSFI E-23 AlignmentGuideline E-23 Section II.A (Regulatory Traceability)

Case Study: Deterministic Model Block Telemetry

Audit logs evaluating a high-performing fraud classification model (v4.1) for credit card application risk.

Policy Gate Decision:BLOCKED (CRITICAL)
Deterministic Policy Engine (8 Rules)
R1: AUC > 0.85Model predictive power threshold
PASS
R2: AIR >= 0.80Adverse Impact Ratio (Fairness)
FAIL
R3: PSI <= 0.20Population Stability Index (Drift)
FAIL
R4: ECE <= 0.05Expected Calibration Error
PASS
R5: Missing Docs = 0No missing validation checklists
PASS
R6: Uncertainty CheckQuantified variance boundaries
PASS
R7: Auditable Log = TrueTAMPER-PROOF Merkle validation
PASS
R8: LLM Override = FalseNo LLM can override policy engine
PASS
supervisor_guardrail_verdict.shTAMPER_PROOF_HASH_SHA256
[SYS] Model package ingestion detected: FraudModel_V4.1.tar.gz
[SYS] Running evaluation sandbox suite on CanFraudBench dataset...
[AUDIT] Model Accuracy: AUC = 0.969 (Threshold > 0.85) PASS
[AUDIT] Compliance check: Model lineage document validation... PASS
[WARN] Fairness Monitor: Testing Adverse Impact Ratio (AIR) across demographic segments...
[FAIL] Fairness Exception: AIR = 0.59 (Demographic variance threshold is >= 0.80)
[WARN] Reliability Monitor: Measuring data distribution alignment on validation set...
[FAIL] Reliability Exception: PSI = 0.25 (Data drift threshold exceeded: <= 0.20)
[SYS] Final Verification Summary: 6 PASS, 2 FAIL (Strict Mode Active)
[CRITICAL] DECISION: Model deployment BLOCKED. Deterministic override disabled.
[SYS] Writing telemetry state logs to Trillian Merkle Tree (RFC 3161 timestamp)... OK

4-Layer Compliance Stack Hierarchy

How the system coordinates from raw benchmarks up to automated promotion gateways.

LayerSystemFunction
Layer 4GovernanceOpsAutomated promotion pipeline, evaluating deterministic rules pre-deployment.
Layer 3Governance Control TowerMulti-agent orchestration via Google ADK coordinating auditing tasks.
Layer 2Live Governance SystemsSpecialist agents executing model validation checklists & monitors.
Layer 1CanFraudBench / CanFinBenchPublished regulatory datasets and calibration baseline benchmarks.
Verifiable Systems Grid

Applied ML & Reliability Frameworks

Technical summaries of deep-dive systems, benchmarking architectures, and self-healing data infrastructure built for enterprise reliability.

GovernanceOpsGovernanceOps

Rules Evaluated: 9 RulesDecision Control: Zero-LLM Override

DevOps governs software delivery. MLOps governs model delivery. GovernanceOps governs AI deployment.

9 RulesDeterministic Gates
3 TiersPromotion Tiers
ImmutableAudit Trail

An automated model promotion pipeline designed to shift discovery points from post-deployment auditing to an automated pre-deployment gateway, evaluating strict statistical and fairness thresholds.

system_components.log
>Git event triggers ingestion webhook
>Evaluation runner checks thresholds
>Policy engine writes results to Git log
>Promotion gate locks deployment status

Governance Control TowerADK Supervisor

Orchestrator: Google ADKAudit Standard: OSFI E-23

Multi-agent supervisor orchestrating specialized auditing workers using Google ADK.

Multi-AgentOrchestrator Stack
OSFI E-23Compliance Gate
Tamper-ProofAudit Logs

A multi-agent supervisor coordinating specialist auditing agents via Google ADK to enforce model compliance with OSFI E-23 and SR 11-7 model risk management guidelines.

system_components.log
>Supervisor coordinates auditing checks
>Regulatory agent parses guidelines
>Model risk agent audits bias
>Reliability agent detects drift

Model Risk DashboardModel Risk

Standard: OSFI E-23Metrics: PSI, AUC, Parity

Visual compliance tracking interface for model drift, calibration, and demographic parity.

OSFI E-23Compliant
Drift AlertsActive
Fairness AIRSegment Tracked

A visual compliance interface tracking Population Stability Index (PSI), Adverse Impact Ratio (AIR) fairness, and ROC AUC performance to block non-compliant model releases.

system_components.log
>Model telemetry feeds ingestion webhook
>PSI calculations measure covariate drift
>AIR algorithms monitor segment variance
>Interactive Recharts display compliance states

CanFraudBench

Calibration ECE: < 0.015Drift Gates: Active

Open-source Canadian identity-fraud benchmark datasets and calibration drift monitors.

< 0.015 ECEExpected Calibration Error
12+ TypesIdentity Fraud Scenarios
OSSGitHub / Hugging Face

An open-source identity-fraud benchmark designed specifically for Canadian regulated environments. Features automated drift alerts and Expected Calibration Error (ECE) tracking logs to audit financial verification pipelines.

system_components.log
>CanFraud dataset repository (Hugging Face)
>Drift monitoring pipeline (PSI calculations)
>FastAPI benchmark scoring endpoints
>XGBoost baseline calibration classifiers

OSFI Navigator & Audit Copilot

Reg Domains: 7 DomainsRetrieval F1: 92.4%

Multi-domain regulatory RAG framework mapping Canadian financial audit regulations.

7 DomainsRegulatory Mappings
ChromaDBAccess-Controlled VDB
CitationDeterministic Validation

A multi-domain RAG framework mapping 7 Canadian regulatory domains (including OSFI E-23 and SR 11-7 guidelines). Features access-controlled vector stores and strict citation verification checking pipelines to prevent LLM hallucinations.

system_components.log
>PDF OCR parser with metadata tagging
>ChromaDB Vector Store with IAM role scopes
>HyDE retrieval enhancement pipeline
>Citation verification supervisor

PDF-to-SQL PipelineData Eng

Accuracy: 95.4%Infrastructure: Local CPU-Only

Local-first document intelligence API converting unstructured financial PDFs into structured schemas.

95.4%OCR Accuracy
$0.0005Per Document Cost
20-100xCost Reduction

A 3-layer document intelligence pipeline designed for regulated financial environments where data sovereignty is mandatory. It processes statements locally on CPU with zero cloud OCR outbound calls.

system_components.log
>Docling OCR extracts layout blocks locally
>Gemini Flash-Lite maps blocks to typed JSON
>Pydantic validates fields deterministically
>FastAPI serves Swagger schema endpoints

DaaviVerification

Fraud Filter: 95% RateTarget Market: NA/EU Diaspora

Named in honor of my late mother, Felicia Pienaah 'Daavi' — embodying absolute trust and safety.

95%Fraud Filter Rate
PostGISGeospatial Verification
USD/GHSMulti-Currency Gate

A verification-first real estate marketplace solving the diaspora trust deficit in cross-border property investments through PostGIS geospatial mapping, raw SQL verification gates, and vector similarity search.

system_components.log
>3-tier property checks pipeline
>PostGIS land registry verification engine
>OpenAI pgvector matching similarity index
>Real-time multi-currency price dashboard

LuminaMed AI v2.0Healthcare

Radiology AI: v2.0 ReleaseCompliance: HIPAA-aligned design

Multi-Agent clinical intelligence platform for secure radiology workflows & patient portals.

92%Internal verification-agent metric
8%Internal verification-agent metric

A multi-agent clinical intelligence platform orchestrating specialized AI workers to ingest scans, draft impressions, generate billing codes, and simplify complex diagnostic terminology for patients.

system_components.log
>Findings Agent reads visual scan segments
>Impression Agent synthesizes diagnostic summaries
>Coding Agent generates ICD-10 & CPT codes
>Verification Agent audits for hallucinations

SME Growth Co-PilotFlagship

Kaggle AI Agents: 11,494 TeamsValidation: 18 tests pass

Multi-agent AI system that analyzes business KPIs and generates growth strategies.

18 TestsPassing Tests
Funnel MathCalculates revenue-opportunity
11,494 TeamsGoogle Intensive Competitor

A production 6-agent LangGraph system built for the Kaggle × Google AI Agents Intensive (11,494 teams). It analyzes revenue-opportunity from funnel drop-offs, ranks marketing ideas via the ICE scoring engine, and generates content routed directly to Slack.

system_components.log
>Funnel Analyst identifies drop-offs
>Experiment Generator generates suggestions
>ICE Ranker scores impact & effort
>Copywriter & Explainer build outputs

GenAI Reliability Framework

Medical Acc: 93.3%Financial Acc: 93.5%

Hallucination tracking and calibration scoring across LLMs with Pareto frontier optimization.

93.3% / 93.5%Accuracy Intervals
< 2.1%Hallucination Rate
ParetoFrontier Scoring

A mathematical evaluation framework tracking hallucinations and calibration errors across open-source and commercial LLM backends, determining the optimal cost-accuracy trade-offs via multi-objective Pareto optimization.

system_components.log
>Evaluation Dataset ingestion layer
>LLM Prompt-variance testing engine
>Calibration scoring (ECE calculation)
>Pareto frontier solver algorithms

Self-Healing ML Pipeline

Validation Engine: 40 ScenariosAWS Deploy: App Runner + RDS

Autonomous pipeline remediation monitoring system running test scenarios to validate fixes.

40Test Scenarios
AWS StackApp Runner + RDS
< 30sAnomaly Remediation

An automated self-healing pipeline processor deployed on AWS (App Runner + RDS) to audit data pipeline flows. Cuts time-to-resolution from hours to under a minute by spinning up isolated Docker containers to validate fixes before promotion.

system_components.log
>Airflow logs ingestion via AWS CloudWatch
>Detective Agent diagnostics block
>Isolated Docker testing sandbox container
>Auto-rollback DB deployment gate

Historical & Hackathon Systems

Secondary system MVPs and hackathon entries built for algorithmic execution and local commerce validation.

CHRiSLINE Trading Bot

XAU/USD Algorithmic trading engine with MetaTrader 5 integration.

PythonMT5 APIPandasNumPyTechnical IndicatorsWebsockets

An automated scalping bot executing positions on gold (XAU/USD) via the MetaTrader 5 API interface. Features trailing stop-loss, risk management boundaries, and local log alerts.

NeighborCart

DTTP Hackathon Top 6 Hyperlocal Commerce MVP.

Next.jsFastAPIPostgreSQLLeafletDockerWebSockets

A hyperlocal merchant matching system built for the DTTP Hackathon, ranking in the Top 6. Facilitates neighborhood store listings, geolocation maps, and instant order broadcast.

Client Feedback

What People Say

5.0⭐⭐⭐⭐⭐
AI Guided Web App Development (DTTP) • September 2025
“Great job! This individual and their entire team gave this project their very best effort! Much appreciative of the opportunity to work with him. Personally he really drove this project forward and served in a great 'quarterback role' for this project. We continue to collaborate!”
Derrick RaphaelChief Digital Officer, ICON Leadership Institute
Communication: 5/5 &starf;Professionalism: 5/5 &starf;Creativity: 5/5 &starf;

Feedback from professionals in model risk, compliance, audit, AI governance, and financial services is always welcome.