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Canada Level 4 Security Cleared Development Manager / Practice Lead: Technically hands-on, I have led teams to architect, design, document, build, and deploy secure and scalable systems around the world. Assure the business stakeholders with planning, execution and the business benefits of elegant standards-based architecture and inspire technical teams with sure-footed technical knowledge and a mentoring approach. Core Expertise: Cloud Architecture and Engineering, Microservices and REST APIs, DevOps, Solutions Architecture, Java, JEE, Spring, IBM WebSphere, Liberty, Portal and Commerce, .NET Core, Typescript, Angular, JBoss/Wildfly, Liferay, Linux Industry Expertise: Fintech, Public Sector, Supply Chain, Portals, eCommerce, Web Security and Content Management, Search, Disaster Recovery. Enabling TDD and CI/CD for distributed and agile teams.

🎯 ERP, Systems & AI Solutions That Work I help businesses modernize legacy systems, build reliable ERP and business applications, and connect data, APIs, and existing platforms into scalable workflows. With 20+ years of IT experience across systems architecture, software development, ERP, BI, integrations, and Service Desk operations, I bridge the gap between business needs and technical execution. 💼 What I Do ERP & Business Systems • ERP implementation, architecture & configuration • Business process analysis & system design • Legacy system modernization • Requirements gathering & documentation • Troubleshooting & systems investigation Custom ERP & Systems Integration • ERP-like ecosystems using existing business applications • REST API & third-party system integrations • Data Warehouse-driven business systems • Connecting disconnected platforms into cohesive workflows • Custom internal business applications Full-Stack Development • PHP, JavaScript, Python, HTML/CSS • MySQL & T-SQL • REST API development • Full-stack development & technical leadership Data, BI & Automation • Business intelligence & reporting • ETL & data integration • Data Warehouse architecture • SQL development & data analysis • Workflow automation Service Desk & IT Operations • Service Desk setup & leadership • Tier 1/Tier 2 support & escalation • Incident triage and resolution • Backlog and escalation management • Post-launch support & ITIL-based processes AI & Modern Technology • LLM integration • RAG & Agentic AI • AI-ready business systems • Generative AI implementation • AI integration with existing business platforms 🧠 My Approach I don't look at technology in isolation. I first understand the business process and the problem you're trying to solve, then determine the right architecture, integrations, and development approach. For legacy environments, that may mean modernizing what's already working rather than replacing everything. In some cases, I can connect existing business applications through APIs and a centralized Data Warehouse to create a practical ERP-like ecosystem, without the cost and disruption of replacing everything with a new ERP. For new projects, I can design and deliver scalable business systems from the ground up. For AI initiatives, I focus on integrating AI where it creates genuine value within your existing data, systems, and workflows. 🤝 Who I Work With I work best with businesses that need a technical partner who can think beyond individual development tasks, from ERP and systems integration to legacy modernization, BI, Service Desk operations, and AI. If you have a system that needs to be improved, a business process that needs to be streamlined, or a technology challenge that needs an experienced technical owner, let's talk.

I take over Cloud (AWS, GCP) infrastructure that's scaling faster than your team can manage - and make it stable, observable, and cost-efficient. Recent work: Navya Network (Healthcare AI) - 4 months ongoing. Zero-downtime ECS Fargate migration, Databricks cost optimization, multi-region architecture. 99.9% availability with sub-second agent orchestration. Ockam (AI startup) - Led SOC2 compliance from scratch while rebuilding their platform architecture. Invesco (Fortune 500) - Migrated 500+ applications to AWS. Genentech - Built enterprise container platform that cut developer onboarding from weeks to days. What I deliver: Production Kubernetes and ECS at scale. Terraform infrastructure you can actually maintain. CI/CD pipelines that don't break. Observability that tells you what's wrong before customers do. How I work: Async-first, timezone-flexible. I document everything and build for handoff - you get infrastructure your team can run without me. Available for 2-4 week projects or longer engagements. Previously scaled a platform engineering practice from 12 to 150 engineers at Slalom Build. Now running Accelra Technologies and taking select consulting work.

A web developer with 8 years of experience in the design, planning and implementation of web and mobile apps as part of an agile team. Adept at writing software using industry best practices, such as test-first programming, regular refactoring, pair programming and continuous integration.

I architect production ML and AI/LLM platforms for enterprises and AI-native startups. My work spans the full system: model serving (self-hosted on Kubernetes or via OpenAI, Anthropic, and Bedrock APIs), MLOps and CI/CD, observability, and the governance posture that lets these systems hold up in regulated environments. A lot of engagements start with helping teams decide which workloads belong where, then building the platform to support them. *Background*: · 8+ years building ML platforms across AWS, GCP, and on-prem · Cloud Infrastructure Engineer at Royal Bank of Canada: hybrid AKS/Anthos migration of a critical API platform under bank change management · ML Infrastructure Developer at BorealisAI (RBC's AI research institute): SLURM on NVIDIA DGX, OpenShift CI/CD for ML pipelines · Through HADI Technology, recent client engagements include SkanAI (production ML infrastructure on Kubernetes), Joinable (self-hosted LLM serving), Fylo (graph RAG and neurosymbolic AI platform), and ZahraTrust (AI agent infrastructure) *Recent work*: · Self-hosted LLM serving on Kubernetes with vLLM and KubeAI (DeepSeek-R1, Llama 3); continuous batching, autoscaling, OpenAI-compatible API surface · Graph RAG and neurosymbolic extraction pipelines combining vector retrieval with ShEx-constrained schema validation for accuracy and traceability · Reusable MLOps platform components (MLflow, Argo CD, Terraform, Helm) so domain teams onboard new ML workloads in days · Cross-cloud ML pipelines on AWS and GCP with unified experiment tracking, artifact management, and gated promotion · Production observability for ML systems (Prometheus, Grafana, EFK) with alerting on latency, throughput, drift, and cost *Good fit if you're*: · Running LLMs in production and the infrastructure is becoming the bottleneck · Deciding between API, self-hosted, or hybrid for a given workload · Moving from ad-hoc ML deployments to a structured internal ML platform with proper lifecycle controls · In a regulated industry (banking, healthcare, government) and need infrastructure that holds up to compliance review *Stack*: vLLM, KubeAI, MLflow, Triton Inference Server, ONNX Runtime, Kubernetes, OpenShift, Terraform, Argo CD, Helm, Airflow, Prometheus, Grafana, Vault, AWS, GCP, SLURM I typically begin engagements with a 2-3 week architecture assessment, so we can scope the right system together before committing to a multi-month build.

Databricks Partner | AWS | Azure Data & Cloud Infrastructure Architect | Helping data leaders optimize compute (CPU/GPU) and scale engineering teams 𝐇𝐨𝐰 𝐈 𝐡𝐞𝐥𝐩 𝐝𝐚𝐭𝐚 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬: ‣ 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐂𝐨𝐬𝐭 𝐀𝐮𝐝𝐢𝐭𝐬: Identifying and automating the teardown of idle Databricks/K8s clusters to cut compute waste. ‣ 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞: Implementing Databricks Unity Catalog for centralized security, lineage, and compliance. ‣ 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞 𝐔𝐩𝐬𝐤𝐢𝐥𝐥𝐢𝐧𝐠 𝐒𝐩𝐫𝐢𝐧𝐭𝐬: Turning existing internal engineering teams into advanced, platform-ready data engineers. ‣ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: Building secure on-demand environments and zero-downtime deployment patterns. 𝐓𝐡𝐞 𝐏𝐫𝐨𝐨𝐟: • Official Databricks Partner with 20+ years in cloud, big data, and infrastructure. • Scaled an AI Neo Cloud from zero to 4,000+ accelerators across NVIDIA GPU A100/H100 platforms. • Founder of TorontoAI, a 10,000+ member applied-AI engineering community.