Hi 👋

I write code for machines, and sometimes I also write stories for people.
I studied civil engineering back in 2010. But one day, I learned to code and decided to switch careers.
I love it when someone uses an app I built and says, "Wow! I didn't know this was possible."
In 2022, I encountered ChatGPT and dropped everything I was doing to specialize as a full-stack programmer in artificial intelligence projects.

EXPERIENCE

Programmer Analyst at "G&S" (2024)

Full Stack Developer at "Biwit" (2023)

Collaborated on the creation of an AI app, utilizing the "Open AI" API to generate embeddings, which were stored in a vector database (Pinecone).
Developed the frontend using "Material UI" and "Next.js" based on Figma designs, enabling users to chat with their documents using GPT-3 and GPT-4.
Created a webhook for payment processing with the Stripe API using Typescript, GraphQL, and Prisma, updating PostgreSQL databases. Conducted unit tests with Jest.

Low Code Developer at "Dígito" (2021 - 2022)

Worked on the creation of WordPress websites, engaging with clients to define scopes, UI/UX design, and providing training for website management.
Utilized "Microsoft Power Apps" to create low-code internal applications for companies, enhancing warehouse and accounting department productivity.
Implemented automations with "Microsoft Power Automate," including robotic process automation (RPA) to improve communication efficiency between management and sales departments.

First place for developing a blockchain dapp in the "BNB Chain" challenge at Latam WebX Hackathon by "Andino DAO" (2022).
Second place in "Hackathon IA para salud mental" organized by "Universidad Norbert Wiener" and "Proveedy" (2023).

Solidity and Smart Contracts in the "Ethereum Developer Program" by Platzi and "Ethereum Foundation" (2022).
Typescript, Node.JS, and SASS through a scholarship from "Innóvate Perú" and Platzi (2021).
Intermediate-level English (B2) at the “Asociación Cultural Peruano Británica” (2019-2020).
Civil Engineering (Incomplete) at "Universidad Nacional de Ingeniería" (2010-2012).

"La llamita sincera" utilizes an LLM based on Llama2 to create an AI chat that always tells the truth without needing internet access. Developed with Python and Svelte. The embeddings and vector database operate at 100% locally.

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