Intelligent Systems.
Engineered Properly.
I engineer production-grade AI systems, intelligent agents, and automation workflows that solve complex business problems.
I don't just write code - I build reliable, scalable infrastructure combining LLM capabilities with deterministic logic to drive operational efficiency and measurable ROI.
Built and deployed AI systems used in real business operations, not experimental prototypes.
Engineering AI that holds up in production
I'm Rod Fernandez, an AI Systems Engineer who bridges the gap between cutting-edge LLM capabilities and enterprise-grade reliability. While others build brittle wrappers, I architect robust systems combining deterministic logic, controlled workflows, and tight API integrations.
With proven experience deploying voice agents, complex CRM automations, and full-stack platforms, I bring a rare mix of deep technical execution and sharp commercial acumen.
I build software across AI, web and systems engineering that performs reliably, scales appropriately and creates genuine operational or commercial value.
Seven years of shipped systems
Founder & AI Systems Developer
2019 - PresentRod Fernandez Design & AI Collab
- Built AI systems and automation workflows for SMEs
- Developed AI voice agents and chatbot systems
- Designed conversion-focused web architectures
Chief Technology Officer
2019 - 2022The Course Collab
- Led development of websites and landing systems
- Built chatbot and automation workflows
Systems built for real operations
Designed to generate leads, automate workflows, and drive business growth.
AI Voice Agent System (Production Workflow Automation)
Designed and deployed AI-driven conversational systems that automate inbound request handling, classification, and routing.
- Combined LLM reasoning with structured business rules to ensure predictable behaviour
- Integrated with backend systems for workflow execution and data capture
- Implemented escalation, exception handling, and controlled responses
- Focused on reliability, consistency, and real-world operational use
Outcome
Replaces manual call handling with consistent, automated workflows that capture and qualify leads.
Knowledge Structuring & Retrieval Systems
Designed structured data and content systems to improve discoverability and machine-readable understanding.
- Built structured knowledge layers across services, locations, and FAQs
- Implemented schema and data modelling for AI and search systems
- Transformed unstructured business content into usable knowledge systems
Outcome
Improved visibility, better indexing, and higher-quality inbound leads.
AI Collab - AI Automation Systems
AI automation and agent systems built for SMEs. Includes LLM-powered chatbot systems, voice agents integrated with CRM workflows, and lead handling automation pipelines.
Outcome
Streamlined operations and improved response time to customer enquiries.
Conversion & Workflow Systems
High-performance systems designed to connect inputs to structured outputs and automate data handling.
- Built full-stack systems integrating frontend, backend logic, and CRM workflows
- Designed user flows that connect inputs (traffic) to structured outputs (qualified leads)
- Implemented automation pipelines to handle and route data across systems
Outcome
Transforms low-performing brochure websites into lead-generation systems.
Pengo - Modular Music Production Environment
In DevelopmentDesigned and developed a desktop music production application in Rust, combining real-time audio processing, virtual instruments, sequencing and modular signal routing.
- Built a low-latency audio engine using Rust and CPAL
- Developed an eight-voice polyphonic synthesiser with multiple oscillator types, filtering, envelopes, velocity response, modulation and glide
- Created a zone-based sampler architecture designed to support keyboard mapping, velocity ranges and layered samples
- Implemented drum sequencing, mixing, effects, transport and metronome systems
- Designed a modular device and signal-routing architecture that can be expanded with additional instruments and audio processors
- Structured instrument presets and project data using JSON-based formats
- Developed and tested the application for Linux desktop environments
Outcome
Demonstrates systems-level software development, real-time audio programming and the ability to architect a complex desktop application beyond conventional web development.
I focus on making AI systems usable, reliable, and safe in real-world environments.
Rather than relying purely on model output, I combine:
This ensures AI systems behave predictably and can be trusted in operational environments.
The stack behind the systems
Technologies and tools I use to build robust systems.
Programming
Web & Frontend
Backend & Systems
AI & LLMs
Voice AI
Creative AI & 3D
Tools & Platforms
Technical range, proven in production
- Production-ready AI, not experimental prototypes - systems deployed into live business operations
- Full-stack and systems range: from Python backends and modern React architectures to real-time Rust desktop applications
- Deep operational understanding of LLM boundaries, context management and hallucination mitigation
- Commercial mindset: systems engineered to create operational and bottom-line value
Reliability over hype.
- Architecting deterministic guardrails around probabilistic AI models
- Writing clean, maintainable, and rigorously tested code
- Designing systems for scale, security, and seamless user experience
- Choosing technologies according to the demands of the system, from Python and TypeScript for connected business platforms to Rust for performance-sensitive desktop applications
- Treating AI as a component of a larger, robust software ecosystem
Need engineering depth behind your next build?
I bring production-proven AI and full-stack engineering to complex projects. Let's talk about what you're building.