Custom AI Call Agents, Chatbots, RAG & Automation
Production systems for California and Florida teams: voice, chat, retrieval, and the workflows that connect them.
Custom AI Call Agents
Inbound and outbound AI call agents with CRM write-back, queues, and human overflow—not a hosted receptionist with no memory.
Custom AI Chatbots
Website and in-app chatbots with RAG, streaming, and actions that book, route, and escalate.
RAG Agents
Production retrieval-augmented generation: hybrid search, citations, evals, and permission-aware corpora.
Workflow Automation
Python, webhook, and agent workflows that connect phones, CRMs, and back-office systems.
AI Voice Agents
Low-latency conversational voice with barge-in, tool-calling, and bilingual routing for Florida and California lines.
Backend Engineering
APIs, queues, and concurrency so call agents and RAG actually hold production load.
Flagship Architecture
Enterprise RAG Engine
Problem
Legacy documentation systems caused 40% support ticket bloat due to unsearchable, siloed data.
Solution
Architected a distributed vector search pipeline with dynamic metadata filtering and semantic chunking.
Impact
Reduced MTTR by 60% and automated 15,000+ support queries monthly.
Real-time Voice AI Gateway
Problem
High latency in LLM responses made telephony voice agents sound robotic and interruptive.
Solution
Built a custom streaming WebSocket server that chunks STT/TTS streams concurrently, achieving sub-400ms TTFB.
Impact
Scaled to handle 500+ concurrent inbound calls with a 98% human-retention rate.
Software is not just written. It is architected.
I believe in backend-first thinking. A flashy frontend cannot hide a brittle database schema or a synchronous bottleneck.
Security & Reliability
Every API endpoint assumes it is under attack. Rate limiting, input validation, and zero-trust architectures are not afterthoughts—they are the foundation. Systems must fail gracefully and log aggressively.
Scalable By Design
Monoliths are fine until they aren't. I design systems with bounded contexts, preparing for horizontal scaling and decoupled microservices when the business demands it. Statelessness is paramount.
Test Driven Reality
Code without tests is legacy code the moment it is committed. I enforce strict CI/CD pipelines with unit, integration, and load testing. Documentation is treated as executable code.
Technical Arsenal
Backend Core
AI & Data
Cloud & DevOps
Databases
Frontend
Architecture
Engineering Lifecycle
Discovery & Scope
Deep dive into business requirements, identifying constraints, scale expectations, and core data models.
System Architecture
Drafting the blueprint. Selecting the right databases, defining API contracts, and planning the infrastructure.
Agile Development
Writing clean, modular code with continuous integration. Building the core engine first, UI second.
Rigorous Testing
Automated unit tests, integration tests, and simulated load testing to guarantee fault tolerance.
Deployment & Ops
Containerized deployment to staging, blue-green production rollouts, and setting up observability dashboards.