Save persistent data or file in UserDefaults, Keychain, File System, Memory Cache, URLCache

Sandbox environment for deliberately breaking application components to simulate real-world incidents and practice support workflows. 🐞

Local support-engineering portfolio lab for SaaS ticket triage, SQL investigation, SLA prioritization, customer replies, and engineering escalations.

A SQL data investigation project simulating real Application Support Analyst work, including troubleshooting queries, data analysis, and realistic support tickets.

PowerShell script that automates log file cleanup based on retention rules defined in a CSV. Includes a log generator for testing.

FastAPI audit logging and observability project with structured JSON logs, request IDs, Docker, Kubernetes, and GitHub Actions.

Application support runbook lab with incident triage, UAT, SQL checks, release checklists, and a FastAPI ticket tracker.

Aspiring IT Support & Application Support Analyst focused on troubleshooting, system support, and SQL-based applications.

PowerShell script that checks server availability from a CSV list and updates their status.

PowerShell script to monitor Windows services, enforce desired state (Running/Stopped), and log results.

A basic project support bootstrap that will handle documenting, testing, reporting and security analysis of your application.

AI-powered log analysis & incident triage tool for Application / Production Support. Paste logs or upload files → get severity, root cause, next steps, grep queries & ticket summary.

QA Automation & Application Support Engineer specializing in Playwright, API testing, AWS troubleshooting, and SaaS platform reliability.

Advanced PostgreSQL project - banking app support schema with incident tracking, window functions, CTEs, stored procedures and operational views

Hands-on Kafka practice with Docker, K8s, and Python

Incident management dashboard for support teams with SLA monitoring, ticket tracking, and operational reporting.

Simulated application support investigation using the Olist Brazilian E-Commerce public dataset, structured the way a real payment reconciliation ticket would be worked, from initial setup through to findings and remediation.