Hire a senior AI engineer for custom call agents, chatbots, and RAG.
Now shipping custom AI call agents, chatbots, RAG systems, and workflow automation.
- > orchestrator · LangGraph + Groq
- READY
- > retrieval · hybrid + pgvector
- 24ms
- > voice · barge-in streaming
- OK
- > markets · CA · FL · remote
- LIVE
TTFT
<500ms
Voice
sub-400
RAG
cited
Capabilities
Custom AI Call Agents, Chatbots, RAG & Automation
Production systems for California and Florida teams: voice, chat, retrieval, and the workflows that connect them.
Portfolio
Flagship Architecture
Self-Healing RAG Pipeline
Naive RAG answers from whatever the vector store returns. Bad chunks become confident hallucinations.
Corrective RAG with a confidence firewall: grade retrieval, rewrite the query, re-retrieve, or refuse.
Groq grading hop dropped from 1.2s to 180ms. The model fails closed instead of inventing.
VoiceRAG Core
Blocking LLM round-trips make telephony agents sound robotic. Anything over a second breaks the call.
ASGI WebSocket pipeline: Whisper STT, hybrid Pinecone + BM25 retrieval, streamed Groq tokens into TTS.
Sub-500ms conversational loop with barge-in, used in production at 1,000+ daily interactions.
Philosophy
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.
Stack
Technical Arsenal
Backend Core
AI & Data
Cloud & DevOps
Databases
Frontend
Architecture
Methodology
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.
Need the system — or the engineer?
Freelance builds for California and Florida operators. Full-time senior AI roles on US teams. Same person either way.