John Deringer
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Principal Architect

Bridging Enterprise Engineering & Agentic AI

An accomplished and driven software engineering professional with extensive experience working with event-driven microservices. Utilizes advanced AI-powered development environments to streamline software engineering workflows; Increasing development efficiency and reducing turnaround time.

Developing sophisticated AI agents by integrating LLMs with vector databases and high-fidelity context sources, leveraging MCP to bridge the gap between model reasoning and actionable AI skills.

AI Agent Specialist
AWS Certified Architect
Confluent Kafka Certified
John Deringer

Technical Ecosystem

Expertise built across two decades of high-scale software delivery.

Agentic Coding

Spring AI LangGraph Agentic Workflows n8n TensorFlow Reinforcement Leaning RAG Embeddings Augment Code Cursor

Cloud & Platforms

AWS (ECS, Lambda, S3, RDS, PinPoint) Render Kafka MapR Docker Spring Boot Temporal JBoss WebLogic

Languages & Data

Java Python JavaScript Obj-C TypeScript PostgreSQL Pgvector MySQL Oracle MS SQL Server OpenSearch MongoDB

Professional Experience

Principal Architect / Engineer

DIRECTED-AI | 2025 – Present

Product: Migraine-AI (Intelligent Health Companion)

  • Engineered a backend AI system using Java, Spring Boot, Spring AI, AWS ECS and RDS/Postqres to identify migraine triggers through environmental and lifestyle data analysis.
  • Implemented Vector Database design for RAG context and semantic search.
  • Developed the mobile app using TypeScript and React Native for real-time user insights.

Staff Software Engineer

SAGESURE | 2024 – 2025
  • Built event-driven service workflows using Temporal, Java, AWS EKS, S3 and SQS.
  • Integrated an AI customer support chat-bot with back-end services.
  • Reduced deployment time to production to under 1 hour via optimized GitLab CI/CD pipelines.

Lead Engineer / Architect

TRANSUNION | 2014 – 2024
  • Designed transactional notification services delivering millions of messages per day via Kafka, Pinpoint, and Kubernetes.
  • Implemented real-time metrics and anomaly detection for business transaction tracking using Kafka.
  • Architecture team member designing major enterprise migration to AWS.
Previous High-Impact Tenure

Stanford Research Institute (SRI)

Senior Engineer (2008 - 2013)

Architected Reinforcement Learning agents and goal-driven autonomous systems using scalable RESTful APIs.

Lehman Brothers

Lead Engineer (2001 - 2008)

Lead architect for a mortgage-backed securities trading platform, managing risk assessment for hundreds of thousands of loans.

Academic Foundation

University of Puget Sound

Bachelors: Double major Finance & Economics

Linear Regression Predictive Analytics

Advanced Specializations

DeepLearning.AI | Stanford University

♦ Machine Learning

DeepLearning.AI

♦ Agentic AI

♦ Agent Skills with Anthropic

♦ Semantic Caching for AI Agents

Vanderbilt University

♦ Prompt Engineering

♦ AI Agent Architecture in Java with generative AI

IBM Training

♦ Building AI Agents and Agentic Workflows

♦ Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI

AWS

Certified AWS Architect

Confluent

Certified Kafka Developer

SUN

Certified Java Programmer