I build production-ready AI products, agentic workflows, and scalable full stack applications.

I completed Gauntlet AI, where I built and shipped AI-powered products using modern agentic development practices, LLM APIs, retrieval workflows, multimodal AI, and full stack systems. My background includes 3+ years at J.P. Morgan Chase building enterprise React, TypeScript, Java, and Spring Boot applications with strong testing, performance, and platform modernization experience.

I’m especially interested in building AI systems that move beyond chat: tools that reason, retrieve, plan, act, evaluate, and ship real user-facing products.

• AI product engineering — LLM apps, RAG systems, agentic workflows, tool use, evaluations, and AI-assisted automation
• Full stack development — React, Next.js, TypeScript, Java, Spring Boot, PostgreSQL, REST APIs, and cloud deployment
• Enterprise platform modernization — scalable frontend systems, reusable component architecture, performance improvements, and developer experience
• Production engineering — testing, observability, CI/CD workflows, performance benchmarking, and deployment reliability

An AI software factory that converts prompts into working applications through structured planning, agentic workflows, build/test pipelines, approval gates, and orchestration.

Tech: Next.js, TypeScript, LangGraph, Claude Agent SDK, agent workflows, structured planning, testing pipelines

A multimodal AI checklist application using voice, photo, and natural-language inputs to help users capture and complete tasks in context.

Tech: Claude tool use, PostgreSQL, secure auth, Dockerized frontend/backend services, observability

A RAG-powered legacy code intelligence system for exploring and understanding 250k+ lines of gfortran source code.

Tech: RAG Fusion, semantic retrieval, Pinecone, OpenAI embeddings, grounded answer generation

A multi-tenant scheduling optimization system combining deterministic workflow orchestration with AI-assisted ranking, messaging, and approval flows.

Tech: Next.js, TypeScript, PostgreSQL, Inngest, Twilio, OpenAI

At J.P. Morgan Chase, I work as a Full Stack Software Engineer building and modernizing internal enterprise platforms.

Highlights include:

• Built scalable React + TypeScript components integrated with Redux, improving application performance by 30%
• Engineered Spring Boot REST services to improve data reliability across internal applications
• Established Cypress and JUnit testing frameworks with 90–100% coverage
• Implemented BlazeMeter performance benchmarking, improving throughput and reliability by 20% for applications serving 30,000+ users
• Created and led React training sessions across departments to promote modern frontend best practices

OpenAI · Claude · LangGraph · RAG · RAG Fusion · Pinecone · Langfuse · Tool Calling · Agentic Workflows · Evaluations

React · Next.js · React Native · TypeScript · JavaScript · Redux · Tailwind CSS · HTML5 · CSS3

Java · Spring Boot · Node.js · REST APIs · SQL · PostgreSQL · Rails API

Cypress · Jest · JUnit · Vitest · BlazeMeter · CI/CD workflows

AWS · Docker · Railway · Vercel · PostgreSQL

• Building production-ready AI applications with strong UX and reliable backend systems
• Designing agentic workflows that can plan, execute, test, and recover from failure
• Creating AI products that combine retrieval, structured tool use, evaluations, and real-world deployment
• Growing from full stack engineer into a deeper AI systems and product engineer

• LinkedIn: linkedin.com/in/david-aihe
• GitHub: github.com/Divici