I am a Computer Science student at Maestro College bridging the gap between raw code generation and production-grade software architecture. My current trajectory is focused on transitioning into Technical Management. Drawing from my experience as an AI Trainer and Human-in-the-Loop (HITL) specialist, I enforce rigorous standards for logical soundness, maintainability, and architectural integrity in every development cycle.
- Agentic AI & Automation (Python / Swift): Architecting intelligent workflows and leveraging LLMs (like Claude AI) for automated transcript review, agentic coding execution, and systemic data processing.
- Systems Programming (C++): Deep focus on memory management, resource allocation optimization, and low-level efficiencies.
- Enterprise Software (Java): Implementing modular design patterns, scalable backend structures, and robust object-oriented principles to reduce technical debt.
- Code Quality Enforcement: Focused on identifying architectural mistakes early in the lifecycle and driving architectural wins through direct, actionable code review feedback.
- Process Optimization: Dedicated to eliminating redundant discussions by keeping development sprints focused strictly on state-advancing improvements.
- Strategic Roadmap: All technical growth and current coding sprints are tracked through a formalized Portfolio Development Roadmap.
- Email: principerayquez21@gmail.com
- LinkedIn: [www.linkedin.com/in/kenneth-robinson-neal-99088899]