Lead Support Analyst managing N1/N2 operations for 280 units in high-criticality 24x7 environments, maintaining a consistent SLA above 98%. Expert in bridging IT infrastructure with software engineering, I develop high-performance automations and data-driven architectures. My focus lies in systems optimization, having reduced operational service times by up to 72% through custom engineering solutions. Currently specializing in AI integration, native desktop development (C++/Qt), and backend scalability.
Languages
AI & Data Science
Frameworks & Tools
Databases
DevOps & Infra
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- ExNeural — Neural network engine for predictive analysis of operational KPIs and data-driven forecasting.
PythonNeural Networks - Antigravity — TypeScript/Fastify GitHub profile stats card generator (self-hosted via Coolify).
TypeScriptFastifyDocker - Native Padronizador — High-performance desktop automation tool developed for Windows environments.
C++Qt 6.5 - Mistral LLM Worker — Asynchronous NLP worker for integrating large language models into technical support workflows.
PythonLLM - BlockKeys — Low-level system utility for terminal security and key management in kiosk environments.
C#AutoHotkey
- Scaling the Antigravity SVG engine for dynamic profile analytics.
- Implementing LLM-based triage automation for high-volume ITSM environments.
- Native performance optimization for Windows provisioning tools using Rust and C++.