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Custom AI workflows, APIs, webhooks, databases, and advanced automation.
Open to Remote AI Roles
Building Software & AI Automation That Makes Work Easier
Paul Raymond Tive
Software Engineer • AI Automation Specialist • AI Systems Engineer
I build software and AI-powered automation that helps businesses save time, reduce manual work, and improve accuracy. From connecting business tools to automating daily operations, I develop reliable solutions that simplify processes, increase efficiency, and support business growth.
Technical Impact
Production-grade AI engineering with controlled orchestration, security safeguards, and measurable system behavior.
Live AI Orchestration
Production-grade LLM orchestration layer integrating GPT with structured prompts, role-based governance, deterministic routing, and execution trace visibility.
Abuse-Resistant Design
Enterprise-aware safeguards including email gating, IP rate limiting, token caps, and request validation to prevent misuse and enforce operational cost control.
Observability & Metrics
Real-time latency measurement, response confidence scoring, and retrieval trace transparency surfaced directly in the interface for measurable AI system behavior.
Modular Architecture
Separated frontend (Next.js), API gateway (FastAPI), orchestration layer, and model interface with clearly defined boundaries for scalability and cloud deployment.
Automation Workflow
AI & Workflow Automation
I design reliable automation workflows that connect business tools, reduce repetitive tasks, improve data accuracy, and keep daily operations moving efficiently.
Zapier
Fast integrations that connect everyday business applications and tasks.
Make
Visual multi-step workflows for data routing and application integration.
Power Automate
Microsoft 365 workflows across Teams, Outlook, Excel, and SharePoint.
Integration capabilities
APIsWebhooksCRM AutomationLead RoutingData SynchronizationAutomated Follow-upsAI Agents
Platforms & business tools
HubSpotGoHighLevelGoogle WorkspaceMicrosoft 365SlackMeta MessengerWhatsAppPostgreSQLAirtableCalendlyGoogle CalendarVapiTwilioAsana
Cloud, hosting & operations
VercelRenderRailwayMicrosoft AzureHostingerVPSDockerGitHub ActionsUptimeRobotLinuxDNS & SSL
System Architecture Overview
Engineering Impact Metrics
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AI Systems Engineered
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RAG Architectures Designed
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Cloud Deployments
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Custom Built Infrastructure
Production AI Systems
Multi-Agent AI Orchestration
Designed and built modular multi-agent architecture with governance layers, semantic merging, and structured task execution pipelines.
RAG + Vector Retrieval Infrastructure
Implemented Retrieval-Augmented Generation pipelines with structured databases, vector embeddings, and cost-aware orchestration.
Production AI Deployment
Deployed AI systems using serverless infrastructure, API gateways, authentication layers, and observability tools.
Technical Stack
PythonFastAPIOpenAI APIAWSServerlessVector DatabasesPostgreSQLNext.jsDockerLLM InfrastructureMulti-Agent SystemsRAG Pipelines
Production Impact Highlights
Scalable AI Architecture
Designed modular RAG and multi-agent systems structured for extensibility, separation of concerns, and cloud deployment readiness.
Governed AI Execution
Implemented structured retrieval, validation layers, cost-awareness, and system-level guardrails to ensure reliable AI response generation.
Production Deployment
Deployed AI systems with backend APIs, vector databases, authentication-ready structure, and scalable hosting environments.