Richard Pedraza
Senior Backend Engineer
Senior Backend Engineer with 8+ years designing and scaling robust systems with Python, Django, FastAPI and Node.js. I build production AI—from real-time voice agents to complex automation—on AWS architectures that deliver measurable ROI.
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Faster processing
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Automated accuracy
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Real-time AI voice
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Years of experience
Metrics that Matter
Listings processed per cycle
Automated valuation, 90% accuracy
Multi-tenant voice clients
5K+ call minutes/month in production
Records classified with AI
Under dynamic evaluation rules
Insurers unified
One API, scalable to 10+
AI + Automation Systems
Building intelligent infrastructure that drives efficiency.
LLM & Voice Integrations
Real-time voice agents and LLM pipelines (Pipecat, GPT-4.1, RAG) wired into real business logic, with sub-second latency and prompt-injection protection.
Workflow Automation
End-to-end automation with n8n, Python and event-driven integrations that replace manual operations and sync data across CRM, ERP and SaaS.
Data Pipelines
Large-scale ingestion and processing pipelines (Scrapy, Pandas, async queues) built for operational scale and reliability.
Backend Architecture
Provider-agnostic, multi-tenant architectures on AWS (Django/DRF, FastAPI, Redis) designed for performance, maintainability and controlled technical debt.
Tech Stack
Languages
Backend & APIs
Cloud & DevOps
AI & Voice
Featured Work
Insurtech Aggregation Platform
The backend powering an insurtech mobile app where users compare, buy and manage insurance policies from multiple providers in one place.
Real-Time AI Voice Assistant
A production multi-tenant AI phone assistant that answers calls, holds natural conversations and routes intent in real time.
Automated Property Valuation
An engine that values thousands of real-estate listings automatically, replacing a slow manual process for internal teams.
About Me
Senior Backend Engineer with 8+ years designing and scaling robust systems with Python, Django, FastAPI and Node.js. I build production AI—from real-time voice agents to complex automation—on AWS architectures that deliver measurable ROI.
“I help companies integrate AI in a practical, reliable, business-aligned way—focused on operational impact, not experimentation.”
Systems delivered with clear technical documentation.
Built for long-term maintainability and low operational risk.
Structured knowledge transfer to internal teams.