Principal AI Engineer & Enterprise Architect

Emmanuel Oyekanlu, Ph.D.

AI / Data / Enterprise Systems Architect — Agentic AI, GPU Orchestration & Data Engineering at Scale

Principal AI Engineer and Enterprise Architect with a track record of delivering production AI, data engineering, and enterprise-architecture programs across manufacturing, financial services, healthcare, telecommunications, and entertainment. Builds full-stack machine learning, agentic AI, and GPU-accelerated systems that ship — with ML models consistently exceeding 94% accuracy and a north-star architecture that spans cloud, hybrid, and edge deployments. Experienced defining enterprise data/AI strategy and capability roadmaps, leading cross-functional teams, and translating platform architecture into measurable business outcomes.

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Winston-Salem, NCmanuelbomi@yahoo.comLinkedInGitHubGoogle Scholar
Emmanuel Oyekanlu

94%+

Typical ML model accuracy delivered

33+

Peer-reviewed publications

198+

Open-source repositories

1

US Patent (Integrated Manufacturing Systems Architecture)

Core Strengths

What I bring to the table

Full-stack ownership from enterprise architecture down to GPU kernels — with governance and compliance built in, not bolted on.

Enterprise & Data Architecture

TOGAF-aligned enterprise, data, and AI north-star architectures across global, multi-vendor environments (ArchiMate, Archi, Sparx, ER/Studio).

Agentic AI & LLM Systems

Provider-agnostic multi-agent platforms, RAG/GraphRAG, LangGraph, CrewAI, MCP gateways, and prompt-governance architecture for regulated industries.

GPU Orchestration & HPC

CUDA / OpenCL / Slurm / Nvidia Run:AI workload orchestration on Rocky Linux HPC clusters; TensorRT & OpenVINO edge-inference optimization.

Computer Vision & Edge AI

Sub-15ms industrial inspection at 99.2% accuracy on Jetson AGX Orin; YOLO, OpenCV, and classical CV pipelines deployed to 50+ edge devices.

MLOps & Data Engineering

Medallion-architecture pipelines on Databricks/dbt, streaming analytics with Kafka & Flink, CI/CD for models with SageMaker, MLflow, and ZenML.

Selected Work

Featured projects

A curated slice of 198+ public repositories spanning agentic AI, computer vision, data engineering, and enterprise architecture.

Computer Vision & Industrial AIDemo video

Industrial Social Distancing Monitor

COVID-19 social-distancing enforcement tool for industrial floors, built on YOLO with Nvidia Jetson Nano/Xavier and Raspberry Pi. GeoPandas, Fiona, and Shapely were used for floor-plan analysis and geofencing. Streamed IoT data to GCP Pub/Sub, Dataflow, and BigQuery for plant-wide analytics. Delivered at 93% lower cost than a comparable vendor solution.

Open-source beta: industrial social-distancing solution

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YOLOJetsonGeoPandasGCPEdge AI
View on GitHub
Computer Vision & Industrial AIDemo video

Computer-Vision Vaccine Vial Tracking

Vaccine-vial tracking system for healthcare manufacturing using Hough Transforms, image segmentation, and CUDA-accelerated OpenCV on a Linux HPC cluster with Nvidia GPUs and C++. Tracks vials reliably across the design pipeline through multiple manufacturing stages.

Vial pre-tracking

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Vial tracking

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OpenCVCUDAHough TransformsC++Healthcare
View on GitHub
Computer Vision & Industrial AI

YOLO vs. Vision-AI Model Benchmark

Benchmarks YOLO against CNN, Transformer, and small vision-language models across manufacturing, healthcare, and video-analytics monitoring workloads — accuracy, latency, and throughput trade-offs for real deployment decisions.

YOLOTransformersVLMBenchmarking
View on GitHub
Agentic AI & LLM Systems

Agentic GraphRAG for Financial Institutions

Secure, agentic GraphRAG query systems for banking, fraud detection, tax analytics, and financial reconciliation — designed for auditability and least-privilege data access.

GraphRAGAgentic AIFinancial ServicesSecurity
View on GitHub
Agentic AI & LLM Systems

MCP Enterprise Tool Gateway

Governed Model Context Protocol (MCP) server providing bank-grade, access-controlled tool access for LLM agents.

MCPGovernanceBanking
View on GitHub
Data Engineering & MLOps

Lakehouse Forecasting MLOps Platform

End-to-end lakehouse forecasting platform — medallion-architecture ingestion, feature pipelines, model training, and MLOps tracking for demand-forecasting workloads.

LakehouseForecastingMLOps
View on GitHub
View all 8 project categories →

Portfolio Map

Browse by category

Agentic AI & LLM Systems23 projectsComputer Vision & Industrial AI8 projectsData Engineering & MLOps14 projectsEnterprise & Financial AI17 projectsGPU, HPC & Infrastructure8 projectsGeospatial & Supply Chain12 projectsHealthcare & Life Sciences AI8 projectsEnterprise Architecture (Palantir Foundry)8 projects

Career Snapshot

Recent roles

18+ years spanning telecom network engineering, applied research, and principal-level AI/data architecture.

Principal AI Solutions Architect — Consultant

June 2026 – Present

ForgeZen (Startup)

  • Architected a provider-agnostic multi-agent AI platform (naming/brand generation, market intelligence, enterprise assessment) decoupled from any single LLM vendor via a providers/ abstraction layer.
  • Designed model routing and cost-governance architecture tiering frontier vs. lightweight models to optimize cost vs. accuracy.
  • Built a prompt registry and versioning system with Pydantic-validated, auditable structured outputs.

Principal AI Solutions Software Engineer — Consultant

April 2026 – June 2026

CohnReznick LLC

  • Reported to CohnReznick's Global Head of AI, designing and deploying AI-native solutions for financial, banking, and auditing workflows.
  • Architected AI-enabled applications using LLMs, SLMs, RAG/GraphRAG, and NLP for enterprise workflow transformation.
  • Built full-stack applications integrated with Claude Code, GitHub Copilot, and Azure AI services.

AI Fellow — Consultant

March 2026 – Ongoing

Handshake AI — Project Proctor (Project Darwin)

  • Training LLMs to better support STEM-based reasoning.
View full career history →

Technical Depth

Skills & tooling

Enterprise & Data Architecture

TOGAF Enterprise ArchitectArchiMateArchiSparx Enterprise ArchitectER/Studio Data ArchitectErwinLucidChartData & System Architecture

Agentic AI & LLM Orchestration

LangChainLangGraphLangSmithLangFlowCrewAIAutoGenModel Context Protocol (MCP)n8nNode-REDAirflowPalantir Foundry

GPU, HPC & Edge Inference

CUDAOpenCLSlurmNvidia Run:AIOpenVINOTensorRTRocky Linux (RHEL-compatible)Nvidia Jetson (Nano / Xavier / AGX Orin)Raspberry PiGoogle Coral TPU

Machine Learning & Computer Vision

TensorFlowKerasPyTorchRAPIDSOpenCVHalconYOLOFAISS / HNSW / IVFGenerative Adversarial Networks

Data Engineering & Streaming

Databricks (Delta Lake, Unity Catalog, MLflow)dbtApache Spark / PySparkKafkaApache FlinkApache BeamApache NiFiHadoopHivePig

Cloud Platforms

AWS (SageMaker, Glue, EMR, IoT Greengrass, Kinesis)Google Cloud (Vertex AI, BigQuery, Dataflow, Cloud Run, Pub/Sub)Microsoft Azure (Databricks, Functions, Event Hub, AKS)Snowflake

Databases & Vector Stores

PostgreSQLSQLiteMongoDBNeo4j (Cypher)CassandraScyllaDBKdb+pgvectorPineconeMilvus / Zilliz

Backend & Languages

PythonRC#RustC++MATLABScalaJavaKotlinSQL / GoogleSQL / SparkSQL / KQL

Frontend & Visualization

JavaScriptVue / Nuxt 3React / Next.jsGraphQLREST APIsTableauPower BISigma Computing

MLOps, DevOps & Reliability

DockerKubernetesTerraformJenkinsGitHub ActionsGitLab CIMLflowZenMLTensorFlow TFXPrometheus / GrafanaDatadogUptime Kuma

Cybersecurity

Splunk (SIEM)SuricataWiresharkTCPDumpTCP/IPRisk & Vulnerability Assessment

Regulated-Industry Standards

GMPGAMP 5SEMIHIPAAHL7FHIRFDA CFR Part 11EU GMP Annex 11

Let's build something reliable.

Available for principal-level AI, data architecture, and enterprise-AI engagements.

Get in touch