Quinti - Food Delivery App
- TypeScript
- Next.js
- Nest.js
- React.js
- Firebase
- PostgreSQL
Florida, United States
Built and shipped a multi-stage LLM pipeline for interpreter training with LangChain: Whisper ASR to an LLM qualifier with structured output to an insight-extraction LLM, with human-in-the-loop at every decision point.
Designed and shipped a RAG-powered LMS feature: chunked corpus, vector retrieval, retrieval-augmented query answering and automated test generation with source attribution.
Built document-intelligence workflows with OCR and vision-language models: schema-validated extraction from PDFs and UI screenshots with a human review queue, saving 20+ hours weekly across contractor and invoice operations.
Led the white-label multi-tenant migration: tenant-ID segregation, security and role layer, tenant-aware Lambdas, Terraform written from scratch, EKS replicas behind a load balancer and per-client CI/CD.
Moved the team to Claude Code and Spec-Driven Development: spec agents, task-splitting agents and MCP integrations with Jira, Figma and Sentry.
Lima, Peru
Designed and maintained REST APIs with NestJS, Swagger/OpenAPI and Zod-based request validation across a multi-country microservices deployment.
Built and deployed containerized microservices on Node.js and TypeScript, plus a shared React component library consumed across 4 internal applications.
Deployed and managed infrastructure on AWS (ECS, Lambda, S3, RDS, DynamoDB, Cognito, SNS, SQS, API Gateway, CloudWatch) with AWS CDK and CI/CD.
Lima, Peru
Led end-to-end development of a delivery platform (customer app, driver app and landing page), building the RESTful services in Express.js and Node.js.
Integrated order management, real-time driver tracking and Firebase authentication, persistence and push notifications.
Hi, I'm Yerodin — an AI Engineer & Full Stack Developer passionate about building products that solve real-world problems through technology.
I specialize in creating scalable and maintainable systems using TypeScript, NestJS, and AWS, and I'm now focused on building RAG pipelines, multi-stage LLM workflows, and agent automation with LangChain and LangGraph.
Over the last two years I've shipped production AI systems including document-intelligence workflows, human-in-the-loop pipelines, and tenant-aware multi-tenant architectures on AWS with Terraform IaC.
Outside of coding, I enjoy exploring new AI trends, collaborating with creative teams, and taking on challenges that push me beyond my comfort zone.