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Computer Science Student · Automation Engineer · Systems Integrator
I build automation systems that eliminate manual effort and connect fragmented workflows. My focus is on applied AI, document intelligence, and scalable integrations — turning repetitive processes into reliable, zero-touch pipelines.
Currently studying Computer Science while applying hands-on experience across Power Platform, Python, REST API architectures, and game scripting. I care about solutions that actually ship: practical, maintainable, and measurable.
When I'm not automating enterprise workflows, I'm investigating system behavior at a low level — tracing root causes, writing reproducible fixes, and scripting game logic in Lua.
Automation & Integration ████████████████████
Applied AI & OCR ████████████████░░░░
API Design & Integration ███████████████░░░░░
Backend & Systems ███████████████░░░░░
Game Scripting & UX █████████████░░░░░░░
Problem Investigation ████████████████████
Web Development ████████████░░░░░░░░
Automation & Low-Code
Development
Systems & Integrations
Automated extraction pipeline for PDF invoices and NFS-e fiscal documents
Replaced a fully manual data-entry workflow with an end-to-end automation that reads, validates, and routes fiscal documents — reducing processing time and human error significantly.
Stack: Power Automate AI Builder OCR SharePoint Regex
10TB network-attached storage serving heterogeneous environments
Designed and deployed a centralized storage solution supporting both Windows and Linux machines via dual-protocol sharing — consolidating scattered local storage into a single, reliable source.
Stack: Linux Windows Server SMB NFS
Workflow automations and conversational bots for internal operations
Built a suite of bots and automated flows that handle routine team operations: notifications, approvals, status updates, and process triggers — reducing context-switching and manual coordination.
Stack: Microsoft Teams Power Platform Copilot Studio
Lua-based gameplay logic and player experience engineering
Designed and implemented game mechanics, UI feedback loops, and player-facing systems using Lua — with a focus on responsiveness, feedback clarity, and intuitive interaction patterns. Approached game UX the same way as product UX: iterative, data-aware, and player-first.
Stack: Lua Game Engines UX Design Event-driven Architecture
Reusable integration layer for connecting internal systems to external APIs
Built a structured approach to API consumption: authentication flows (OAuth 2.0, API keys), error handling, retry logic, and response normalization — used as a foundation across multiple automation projects.
Stack: Python REST APIs OAuth 2.0 Webhooks Microsoft Graph
Systematic debugging across OS, network, and application layers
Developed a personal methodology for diagnosing complex, non-reproducible failures — combining log analysis, behavioral tracing, and controlled testing. Focus on permanent fixes over workarounds: understanding why something breaks before touching the configuration.
Stack: Windows Internals PowerShell Linux CLI Event Viewer Wireshark
Investigate before fixing → Understand root cause; don't patch symptoms
Automate the second time → If you do it twice, it should run itself
Fail loudly, recover cleanly → Explicit errors beat silent failures
Measure before optimizing → Data over intuition when performance matters
Document as you build → Future-you is a different person
- Lua depth — coroutines, metatables, embedding in C environments
- Game UX — feedback design, affordance theory, playtesting methodology
- API security — token rotation, rate limiting, secure webhook validation
- Applied AI — document intelligence, LLM integration in automation pipelines
- Linux administration — shell scripting, service management, networking
- Architecture — scalable, fault-tolerant automation design
More projects and documentation coming soon.