AI Solutions Architect
nashirumuniru@gmail.com
Nashiru Muniru, CBAP®, CRISC®
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Download CV Book a CallIntroduce
Hi, I'm Abdul Nasir (Nashiru) Muniru — AI Solutions Architect & Systems Engineer
Building production-grade agentic AI systems for energy, celebrations, and logistics. Three ventures in flight — HVAC-CyberEnergy-CoDesign, MyTapDom, and xKargo — anchored on cloud-native, end-to-end engineering that survives contact with reality.
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Ventures
in flight
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Peer-reviewed
publications
About
AI Solutions Architect & Systems Engineer — designing production-grade AI from research spine to cloud deploy.
I'm Nashiru — an AI Solutions Architect and Systems Engineer based in Canada, focused on production-grade agentic AI. MSc in Applied Engineering at the University of Northern Iowa (in progress), with an MM in Innovation & Entrepreneurship from Queen's University (Smith School). I design and ship AI systems end-to-end: from agentic orchestration to ML for industrial settings.
Three ventures in parallel right now — HVAC-CyberEnergy-CoDesign (research + applied prototype for building systems), MyTapDom (AI infrastructure for celebrations, in beta), and xKargo (multi-agent orchestration for SME importers in emerging markets). The thread connecting all three: cloud-native, end-to-end, and built to survive contact with reality.
Currently open to AI Solutions Architect, AI Systems Engineer, and senior MLOps roles in Canada or Canada-friendly remote. If you're hiring or building in any of these spaces, let's talk.
Featured Research
HVAC-CyberEnergy Co-Design Framework
Co-Optimizing Energy Efficiency and Cybersecurity in AI-Driven HVAC Systems: A Multi-Objective Reinforcement Learning and Lightweight Cryptographic Co-Design Framework for Building Automation.
Theoretical foundation: Constrained Multi-Objective Pareto-Optimal Control for Cyber-Physical Systems — simultaneous optimization of energy cost (J₁) and security cost (J₂).
Springer Publication (Feb 2026)
Muniru & Sun. Cluster Computing. AI-based enhanced Twofish encryption: empowering a secure voting mechanism with SnS and extended cyclic groups. The crypto + AI co-design from this paper is the foundation I'm carrying forward into the HVAC framework. Read on Springer →
TECH 6292 Research Proposal
Full integrative framework (multi-objective RL + crypto co-design). May 2026.
STAT 5784 ML Paper
Machine Learning-Based Intrusion Detection for IoT Networks in Building Automation. RT-IoT2022 dataset (123,117 instances, 83 features), 7 classifiers compared. May 2026.
Cloud-native deployment on AWS
RAG threat co-pilot + agentic incident-response. Public repos: hvac-cyber-id · hvac-threat-copilot · hvac-ir-agent.
Why it matters: U.S. buildings consume 40% of national energy, HVAC is the largest commercial share, and BAS attacks rose 9× from 2023 to 2024. The work sits inside the National AI Initiative Act (2020) and CISA's OT/IoT cybersecurity priority.
Resume
Education, Experience & Publications
AI Solution Architect & Founder
eLogik.ai · Ontario, Canada — defining solution patterns for RAG, multi-agent orchestration (CrewAI, AutoGen, LangChain), and LLM integration across client AWS and Azure environments. Lifted enterprise AI user satisfaction 30% through systematic defect triage, output validation (precision/recall/F1/ROC-AUC), and CRISC-aligned human-in-the-loop checkpoints aligned to PIPEDA.
Product Manager (AI-Enhanced Platforms)
Appnovation · Toronto, ON — lifted primary conversion 8.5% over six months via structured A/B tests across prompt variants and model choices. Translated stakeholder requirements into AI-ready user stories with explicit model inputs, output expectations, edge cases, and acceptance criteria.
IT / VTMIS Officer
Ghana Maritime Authority — operated and hardened the Vessel Traffic Management Information System (VTMIS), a national-scale OT environment, via access controls, network segmentation, patch cycles, and incident response protecting safety-critical maritime surveillance.
MSc Applied Engineering — Applied Systems Engineering Management
USA — University of Northern Iowa (in progress)
Master of Management in Innovation & Entrepreneurship
Canada — Smith School of Business, Queen's University
MSc Computer Application Technology (thesis-track)
China — Xi'an University of Technology
AI based enhanced Twofish encryption: empowering a secure voting mechanism with SnS and extended cyclic groups
Muniru & Sun (Feb 2026). Cluster Computing, Springer. DOI →
Adaptive Total Variation Image Denoising
IEEE. View →
Region-Fusion Bregman Method for TV Denoising
Springer. View →
Machine Learning for Cybersecurity: PE-File n-grams + Deep Learning for Malware Detection
CBAP® · CRISC® · PMI-ACP® · Lean Six Sigma Green Belt · AWS Cloud Practitioner
Targeting AWS Solutions Architect Associate · July 2026
Advanced Certificate in Applied Data Science with Python
USA — University of Michigan
Advanced Certificate in Computer Security and Systems Management
USA — University of Colorado
Advanced Certificate in Introduction to Cyber Security
USA — New York University
UNI Intellectual Property Award (2025)
University of Northern Iowa
Ghana Innovative Product of the Year (2025)
Awarded to myTapDom.
What I build
Three pillars, one HVAC narrative
Production AI/ML Systems
End-to-end ML pipelines for high-stakes domains — research-backed, containerized, observable. Detection models, classification systems, anomaly engines, with proper evaluation rigor (precision/recall on minority classes, calibration, drift).
Python · PyTorch · scikit-learn · FastAPICyber-Physical & IoT Security
AI for OT environments — building automation, industrial control, IoT fleets. Threat detection, RAG-based threat-explanation, lightweight cryptography for constrained devices (Twofish + Substitution-and-Shuffle networks, per my published work).
RT-IoT2022 · CISA OT advisories · Lightweight cryptoCloud-Native Architecture (AWS)
Reference architectures and production deployments on AWS — SageMaker for serving, Lambda + Step Functions for orchestration, S3 + Athena for telemetry, CloudWatch for ops, KMS for at-rest encryption.
AWS SAA target · July 2026Stack
Current capabilities
Languages
AI & ML
Cloud & Infra
Data
Engineering practice
projects
Three ventures, in flight
HVAC-CyberEnergy-CoDesign — ML-driven threat detection & energy optimization for building systems
A research spine plus applied prototype combining anomaly detection, energy load forecasting, and agentic decision support for HVAC infrastructure. Underpins my MSc work and an in-progress Springer publication. Public GitHub repo dropping by Sun May 17. Production repos in build: hvac-cyber-id · hvac-threat-copilot · hvac-ir-agent.
MyTapDom — AI infrastructure for celebrations & life moments
A startup in beta building agentic AI tools for celebration planning, invitations, and personalized event flows. Combines RAG, multimodal generation, and event orchestration. Closing the loop to first paying user this month.
xKargo — multi-agent orchestration for SME importers in emerging markets
A new venture (anchored May 2026) building agentic logistics tooling for small and mid-size importers — supplier verification, customs intelligence, logistics orchestration. Where multi-agent systems meet real operational pain. MVP scoping Week 2 (May 18–24); landing page Week 3.
Currently open to AI Solutions Architect, AI Systems Engineer, and senior MLOps roles — Canada or Canada-friendly remote. Available to start July 2026.
contact
Let's talk
If you're hiring or building in any of these spaces, I'd like to hear from you:
- Full-time AI Solutions Architect / AI Systems Engineer / senior MLOps roles
- Advisory engagements in agentic AI, industrial AI, or logistics tooling
- Speaking & writing on production agentic AI and cyber-physical systems
nashirumuniru@gmail.com
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