Kyaw Kyaw Oo

Principal AI Engineer · Forward-Deployed AI Architect

Agentic AI · Multi-Agent Systems · LLM/RAG & MCP · MLOps/LLMOps · Observability & AI Governance

📍 Mississauga, Ontario, Canada · 🌐 Open to Principal / Staff AI Engineer · AI Architect

I turn regulated, high-stakes business problems into production AI systems — with the evaluation, observability, and governance for reliable enterprise operations.

14+ years AI/ML & data science	23+ years engineering · ~7 industries	25× Edge AI speed-up	5 publications · 2025–26	200+ professionals upskilled

🧭 The PRIME Philosophy

PRIME: Production-Ready, Rapid, Intelligent, Measurable, and Efficient AI Engineering. My approach combines delivery speed with evaluation, cost control, human oversight, and reliable operations.

Letter	Meaning	Professional value
P	Production-Ready	Reliable, secure, scalable enterprise AI
R	Rapid	Faster delivery and engineering execution
I	Intelligent	Agentic AI, research-driven innovation
M	Measurable	Quality, performance, trust, business outcomes
E	Efficient	Cost-effective architecture and operations

In practice: evaluation and observability as release gates · guardrails and rollback · PromptOps and reusable agentic patterns · model routing and cost control · governance from design, not after the fact.

🔍 Selected Proof — Public and Clickable

Runnable projects and architecture references. Signals below summarize repository-reported tests, evaluations, or capabilities; prototype results do not establish production performance.

Project	What it demonstrates	Signal
AgentForge Enterprise AI Platform	Governed agent runtime: hybrid RAG, multi-provider model routing, tenant entitlements, human approvals, hash-chained audit, and cost controls	269 tests · 20/20 golden evaluation cases
Agentic Ops Services Platform	Multi-tenant agentic AI foundation: MCP-governed API boundaries, ReAct/ReWOO orchestration, Python/FastAPI, Angular, graph and hierarchical retrieval, and AWS Terraform definitions	132 backend tests · 93% line coverage · locally validated
Agentic Project Management Advisor	CrewAI + local Ollama agents for planning, estimation, resource allocation, and forecasting	42% faster planning · 91% structured-output compliance
Agentic Usage Billing Engine	Event-driven, idempotent usage-based billing: ingest → rate → aggregate → reconcile → MCP; serverless on AWS	291 gating tests · 100% line and branch coverage
CognitiveMirror-Jev-MCP	Cognitive middleware for personal and enterprise agents: 14 MCP tools, REST API, memory, guardrails, approval workflows	62 unit tests · 100% statement and branch coverage
ConversaFlow AI	Tenant-aware conversational runtime: calibrated intent classification, explicit dialogue graphs, typed tools, cited knowledge retrieval, REST/WebSocket APIs, and a TypeScript SDK	171 Python tests · 94.44% intent accuracy on synthetic held-out data
Enterprise AI Reference Architecture	Vendor-neutral architecture knowledge base: AI/ML lifecycle gates, reference designs, reusable patterns, security controls, standards, and architecture decision records	24 lifecycles · 8 reference architectures · 13 pattern catalogs
Industrial Agent Intelligence	Evidence-grounded industrial agents: facility ontology, policy-checked tools, numeric grounding checks, human escalation, and deterministic behavioural evaluations	119 tests · 22/22 behavioural evaluation cases
Med Foundation Models	Whole-body MRI research framework: self-supervised learning with MAE, SimCLR, DINO and JEPA; Vision Transformers, multimodal fusion, and downstream fine-tuning	132 tests · self-supervised and multimodal research framework
MGIIA — Mobility Assistant	YOLOv8 + DeepLabV3 + Llama 3.2 Vision for hands-free road-scene understanding	94.7% detection accuracy · 40% fewer false positives
Quant Pulse Processor	Python/NumPy quantum toolkit: statevector simulation, five canonical algorithms checked against exact references, and pulse-level transmon modelling	250 tests · 15/15 acceptance checks
Sentry-AI	Offline cybersecurity signal-processing demo: telemetry replay, statistical baselines, noisy-OR risk fusion, hysteresis	Explainable, reproducible detection
TrustMed AI Fabric	Governed content and AI reference implementation: evidence-backed claims, approval and expiry controls, provenance, MCP tools, cited retrieval, and hash-chained audit	96 tests · 30 golden evaluation cases

🤝 Community Contributions

Project	Status
DeepEval	Current work
MLflow	Current work
REA	In Progress

📈 Enterprise AI & MLOps Impact

Selected delivery outcomes and implementation checks. Test-gate results are identified separately from business outcomes.

Domain	Work	Measured outcome
Healthcare AI	Springer Nature case study — Top-tier hospital ED capacity	30% fewer LWBS · 20% faster door-to-doctor · 14% lower discharged-patient LOS · 2,500–3,000 added visits/year
Clinical Decision Intelligence	North American clinical organization — QEMIDP / Pulse ED — MIMIC-IV + CXR, LangGraph 6-stage pipeline, 5 guardrail layers, HITL, local-first Ollama	100% evidence attachment (test gate) · 100% guardrail reason-code traceability (test gate) · 5 guardrail layers · 6-stage pipeline · HITL + audit trace
Legacy Modernization	Local manufacturing company — Legacy-Lens — deterministic LangGraph supervisor, 4 specialist agents, 4 MCP servers, RAG + citation gate, HITL	41/41 implementation tests passed · 100% citation-gated answers · 8/8 MCP tools · 3 golden eval cases · end-to-end audit trace
Edge AI + Multi-Agent	Local SME — FIVIS vehicle inspection — LangGraph multi-agent orchestration, RAG/VectorDB, Rust/WASM, ONNX, NVIDIA Triton	25× performance · 70–85% lower latency · 40–60% scalability · grounded, auditable decisions
Drug Discovery	Market leader of the pharmaceutical industry — VAE + GNN + RL molecular pipeline	90% valid molecules · 67.2% quality lift · 14.7% over baseline
Disaster Response AI	One of the world's healthcare organizations — AI-driven disaster resource matching; Neo4j knowledge graph, DSPy workflows, entity mapping, web scraping, GCP + AWS Lambda	80–90% faster matching (weeks → hours) · 50%+ coordination efficiency · 60–70% faster resource discovery · 45–55% less manual coordination
Agentic Ops	Leading wholesale chain — APAMA project management advisor — CrewAI, Ollama, FastAPI	42% faster planning · 91% compliance · 88% forecast correlation
HR & Finance Analytics	Asia top-tier services — governed Azure/Power BI platform	45–55% reporting visibility · 30–40% forecasting accuracy
AI Security	Japanese bank — SecureNet AI WatchTower — GenAI data-leak monitoring across text, PDF, image, audio, video; risk scoring, RBAC, dashboards	100% conversation risk scoring · 100% of 5 data types monitored · 3-role RBAC · 4 dashboards · 0% source data retained
Data Management & Governance	Asia top-tier bank — Project Orion and CATA — real-time and batch data ingestion with CDC/SCD2; Hadoop/Spark/Yarn, Airflow, S3, Collibra, Flink, PySpark, AWS/GCP	40–50% better ingestion scalability · 45–55% less manual ingestion · 35–45% better data quality · 30–40% faster lake/warehouse availability · 50%+ analytics readiness
Enterprise MLOps	Top-five financial institution — AIML Workbench / SWOOSH-FRIDAY — Azure ML, Kubeflow, MLflow, DVC, Jenkins, Kubernetes, TruEra	90% extraction accuracy · 50% faster turnaround · 5+ deep-learning models · RAI-governed
Organizational Analytics	Big Four consulting firm — ONA, workforce optimization	50%+ org visibility · 30–40% lower key-person risk
AML & Compliance	World top-tier financial institution — Real-time screening, entity matching, alert workflow	30–40% fewer false positives · 35–45% better screening accuracy

📚 Research & Publications

View publication record on Google Scholar

Published work

Can AI Create Emergency-Department Capacity Without Building More Capacity? — Springer Nature, September 12, 2026 · case study + teaching note
An MCP-Driven Multi-Agent Enterprise Marketplace Platform Architecture for Myanmar Secondhand and Local Fashion Merchants — International Journal of Computer Applications, August 20, 2026
Dynamic Functional Connectivity Patterns in Resting-State EEG for Classifying Learning Strategies — International Journal of Computer Applications, December 18, 2025
Local Pattern Descriptor-based EEG Classification During Mental Arithmetic Tasks: A Comparative Analysis of Machine Learning Models — International Journal of Computer Applications, November 18, 2025
Intelligent Movement-Controlled Brain-Computer Interface System Based on EEG Signal — River Publishers book chapter, May 25, 2025

Submitted manuscript

Signal-Processing Detection with Human-Guarded Containment: A Live Network Security Agent — IJICS, Inderscience · submitted October 21, 2026; under review

Solutions in progress

QuantEdge MultiAgents Intelligent Decision Platform(https://github.com/MrKyaw/QEMIDP)
Cyber Security MCP(https://github.com/MrKyaw/sigsentinel)
Trustworthy Agent Factory(https://github.com/MrKyaw/trustworthy-agent-factory)
Optimum Inference Route(https://github.com/MrKyaw/opt-infer-route)
Smart Compute Fabric(https://github.com/MrKyaw/smart-compute-fabric)

Academic Service: Project Supervision; Research Reviewer, Digital Health (July 2026–present)

🏅 Recognition

“Kyaw Kyaw is a rare talent in the AI space... he served as the architectural backbone for our GenAI initiatives. What makes Kyaw Kyaw stand out is his platform-agnostic approach... he designs scalable, production-ready Multi-Agent and LLM systems that are built to last. He bridges the gap between complex data science and robust LLMOps seamlessly.”
— Koko Maung, Senior Technical Architect, Munich Re

“One of the most talented professionals I've encountered in the field of AI/ML, Generative AI, and Large Language Models (LLMs)... KK has a remarkable ability to create effective Proofs of Concept (POCs)... Beyond his technical prowess, KK excels in mentoring junior team members.”
— Saikiran Kannan, Asia Lead — Data & AI Strategy

“He has a rare talent for breaking down highly complex technical concepts, tools, and methodologies into clear, easily digestible explanations... He is an outstanding educator who genuinely empowers his students to succeed.”
— Thomas Lwin, Technical, ToshibaTec Singapore

🚀 What I do

Agentic AI & GenAI	Production ML & MLOps	Governance & Trust
Multi-agent orchestration, RAG, MCP/A2A, PromptOps, evaluation, tool calling	Architecture, deployment, tracing, CI/CD, model routing, cost optimization	Responsible AI, explainability, audit trails, PII, regulated-industry controls

💼 Experience — 23+ years across ~7 industries

Role	Organization	Period
Principal AI Engineer (R&D)	Independent / freelance, Mississauga	Jan 2026 – present
AIMLOps Engineer (R&D)	RadComm Systems, Ontario (during graduate studies)	Jun – Oct 2025
Lead AIML Engineer	Omdena (during graduate studies)	Jun 2024 – Jun 2025
Senior Manager — Solution Architect, AIMLOps & Data Science	Capgemini, Singapore	Nov 2021 – May 2024
Data Analytics & Science Manager — Human Capital	Keppel Corporation	Jan – Apr 2021
Senior Data Scientist — Data & AI CoE	Deloitte Consulting	Jan 2018 – Nov 2020
Enterprise Solution Software Engineer (R&D) — Telecom	MyRepublic	Aug 2016 – Jan 2017
Enterprise Software Developer (R&D) — Banking & Insurance	Lexmark Enterprise Software	Oct 2012 – Feb 2016
Signal Processing Engineer (R&D) — Biomedical	Nitto Denko Asia Technical Centre	May 2011 – Sep 2012
Vision Software Engineer (R&D) — Biometrics	NEC Asia Pacific	May 2008 – Apr 2009
Research Engineer — Data Storage	DSI–A*STAR	May 2006 – Apr 2008
Design Engineer (R&D) — Communication & Power	Panasonic	Oct 2005 – Apr 2006
Service & Process Engineer — Semiconductor	ASM	Nov 2004 – Apr 2006
R&D Engineer (Assistant Manager) — Power & Communication	Duwon Electronics, Yangon	Aug 2001 – May 2003

Enterprise highlights: MLOps Architect for unstructured data at Global Top Bank · Data-Ingestion Engineering at Top Asia Bank · AI and GenAI platforms for a major Japanese bank and insurers · AWS Volunteer Management System for the Singapore government · Organizational Network Analytics and Workforce Optimization at Deloitte.

🎓 Education & credentials

Credential	Institution	Detail
MEng, Automation & Smart Systems	McMaster University, Canada	2024–2025 · GPA 3.94/4
Specialist Diploma, DevOps/MLOps	Republic Polytechnic, Singapore	2022–2023 · GPA 3.5/4
Innovation & Design Thinking	National University of Singapore	2023
MSc, Signal Processing	Nanyang Technological University, Singapore	2003–2005
BE, Electronics	Yangon Technological University, Myanmar	1994–2001 · GPA 4.91/5 · First Class Honours

Certifications: AWS Certified Cloud Architect · NICF PMP · Dataiku / Databricks · Big Data Analytics with Hadoop & Spark · DevOps CI/CD with Jenkins, Ansible & Kubernetes

🧰 Toolbox

Area	Technologies
AI/ML Techniques	Multi-agent orchestration · agentic RAG · prompt engineering · tool calling · semantic retrieval · model routing · fine-tuning · reinforcement learning · self-supervised learning · transformers · vision transformers · RNNs · CNNs · classification · regression · clustering · NLP
LLMs & Agent Frameworks	OpenAI/GPT · Claude · Gemini · Llama · Qwen · LangChain · LangGraph · Deep Agents · OpenRouter · Ollama · Model Context Protocol (MCP)
AI Governance & Evaluation	Role-based access control · permission gates · human approval workflows · adversarial review · guardrails · evidence-grounded responses · reproducible benchmarks · quality gates · audit trails
AI/ML Libraries & Platforms	TensorFlow · PyTorch · Keras · NLTK · OpenCV · ONNX Runtime · YOLO · DINO · Databricks · Dataiku
Programming Languages & Application Development	Python · Java · C# · C++ · R · Scala · PySpark · Rust · TypeScript · JavaScript · SQL · FastAPI · React · Next.js · REST APIs · WebSockets · WebAssembly
Data Engineering & Governance	Apache Kafka · Apache Flink · Informatica · Hive · Impala · event-driven pipelines · streaming analytics · data reconciliation · BigID · Collibra
Databases, Retrieval & Caching	PostgreSQL · pgvector · Qdrant · MySQL · MongoDB · Redis · vector search · exact, semantic, and prefix caching
Cloud & Infrastructure	AWS EC2 · S3 · Lambda · Aurora · Azure Virtual Machines · AKS · Azure Machine Learning · Google Cloud Storage · BigQuery · Colab · Docker · Kubernetes
Observability, Analytics & Cost Optimization	Prometheus · Grafana · Langfuse · MLflow · distributed tracing · cost ledgers · inference budget controls · Tableau · Power BI · Google Analytics
Development & Quality Tools	Git · GitHub Actions · Jenkins · pytest · Ruff · mypy · Postman · SoapUI · Visual Studio · PyCharm · CI/CD workflows across Linux, Windows, and macOS

🧑‍🏫 Teaching, Mentoring & Community

Part-Time Lecturer: University of London · Murdoch University (Kaplan) · Metis · MAGES Institute · Lithan
Upskilled 200+ professionals in AI/ML and data science development and deployment
Project Advisor: National Science and Technology Development Agency (2022–Aug 2024)
Mentor: AI Saturdays · DataKind · Omdena
Community: DeepEval · Boon Lay Zone F Resident Network · Mahamuni Buddhist Society · Toastmasters International

🎥 YouTube — Trustworthy PRIME

Applied AI engineering: agentic systems, real-time voice and multimodal assistants, LLMOps/evaluation, and production patterns.

▶ youtube.com/@PrimeInProd

🤝 Let's connect

LinkedIn · Portfolio · Google Scholar · YouTube · Medium · Kaggle · Email

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