📫 Contact: stokie2605@gmail.com
I bridge the gap between physical operations and digital infrastructure. With a strong operational background, I specialize in eliminating helpdesk bottlenecks, automating routine system administration tasks, and building reliable, self-healing IT workflows.
- Systems Administration & Automation: PowerShell, Python, Bash scripting, Windows Server Administration, Endpoint Diagnostics
- Cloud & Infrastructure Governance: AWS (EC2, FinOps Cost Optimization, Resource Governance), Docker, Terraform (IaC)
- ITSM & Operational Workflows: ITIL Service Catalog Design, SLA Tracking, Hardware Lifecycle Inventory Control, Automated Alert Routing
I build tools to solve real-world operational problems. Whether it is writing a PowerShell script to automate endpoint maintenance, configuring a middleware bridge to reduce helpdesk alert fatigue, or auditing cloud environments for wasted spend, my focus is always on high availability, clean documentation, and practical problem-solving.
ITIL Service Catalog Design and SLA Communication mapping. Translates complex operational metrics (SLAs, MTTR) into plain-English value propositions and structured service levels for non-technical managers.
- Tech Stack: HTML5, Tailwind CSS, B2B User-Journey Heuristics, ITIL SLA Frameworks
- Deliverables: Operational service catalog schemas, search-optimized SLA pathways, and B2B user-journey layouts.
An Infrastructure-as-Code (IaC) continuous deployment pipeline automating containerized task execution on AWS ECS/Fargate cluster environments, secured by Trivy vulnerability gates.
- Tech Stack: Terraform (IaC), AWS ECS/Fargate, Docker, GitHub Actions, Trivy
- Deliverables: Reproducible Terraform configs, automated task definition runners, and security linting gates.
An AWS FinOps automation scanner utilizing the Boto3 SDK to query cloud assets for cost leakage, orphaned EBS volumes, and unassociated Elastic IPs.
- Tech Stack: Python (Boto3 SDK), AWS CLI, FinOps Governance, React (Operations Console)
- Deliverables: Cloud cost reporting audits, drift detection metrics, and automated resource cleanup scripts.
An unattended, cron-scheduled data-ingestion pipeline written in Python. Handles API endpoints, parsing data, and committing relational updates safely inside a transactional SQLite database.
- Tech Stack: Python, SQLite, Cron Automations, pytest
- Deliverables: Safe database transaction handling, scheduled data fetching, and local SQLite data snapshots.
A full-stack, industry-agnostic healthcare staff scheduling platform designed to streamline shift management, track staff hours, and manage absences seamlessly.
- Tech Stack: React 18, Vite, FastAPI, SQLModel, SQLite
- Deliverables: Interactive Gantt Rota with drag-and-drop, real-time absence conflict detection, full database persistence with optimistic UI offline fallbacks.
An anonymous, mobile-first portfolio showcasing high-converting UI/UX designs built for local business niches (HVAC, IT Support, Accounting, Scaffolding, Telecoms).
- Tech Stack: HTML5, Tailwind CSS, Responsive Design, GitHub Pages
- Deliverables: Reusable component library, automated local git deployment workflow, multi-client showcase gallery.
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- Languages & Scripting: PowerShell, Python, Bash, SQL, TypeScript/JavaScript
- Cloud & DevSecOps: AWS (EC2, ECS/Fargate, IAM, Boto3), Terraform (IaC), Docker, GitHub Actions, Trivy
- Systems & Databases: Windows Server Administration, PostgreSQL, SQLite, Firestore
- ITSM & Support: ITIL Service Cataloging, SLA Workflow Design, Incident Alert Routing
Feel free to explore my repositories to see how I build and deploy these automation tools.
- Operational Restructuring: Standardized repository file hierarchies by separating core automation logic, helper scripts, and test files.
- Security Hardening: Swapped legacy credential configs for environment variables and secure token validation policies.
- Database Schema Upgrades: Refactored primitive database types into native data structures for robust ORM and transaction handling.
- Systems Maintenance: Eradicated legacy diagnostic scripts, optimized loops, and established static analysis scanning to ensure code hygiene.













