Julio Reyna

Experience

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  CUMBRA Ingenieria

  Dec 2012 - Jan 2024

  Human Resources Business Partner
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  AI Content Labs

  Dec 2022 - Jun 2024

  Co-Founder

  AI Content Labs is a platform that integrates various language model providers to create written content. AICL helps content creators streamline their creative process up to 10x at a low cost and with high-quality content.

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  Anyone AI

  Mar 2023 - Feb 2024

  Machine Learning Engineer

  - Conducted sentiment analysis on product reviews for a movie streaming service. Preprocessed and vectorized non-traditional data using techniques such as Bag of Words (BoW), TF-IDF, and word embedding model. Developed a sentiment analysis model to identify positive and negative opinions in movie reviews.- Conducted home credit risk analysis, predicting repayment capability for home credit applicants. Manipulated, visualized, and pre-processed a dataset of over 350,000 transactions. Trained supervised models (DecisionTree, XGBoost, LightGBM) achieving ROC AUC over 0.72.- Analyzed revenue and delivery metrics for a leading Latam E-commerce site during 2016-2018. Identified revenue trends, popular product categories, and state-wise revenue distribution. Assessed delivery performance by analyzing package delivery time and estimated vs. actual delivery dates.- Developed a data pipeline (ELT) using SQLite and SQL, utilized Matplotlib and Seaborn for visualizations, and generated actionable insights into revenue patterns, product popularity, and delivery performance.- Implemented image classification for e-commerce, predicting vehicle make and model from unstructured images. Cleaned and visualized the dataset, performed data augmentation, and trained a fine-grained classification model using convolutional neural networks (CNN). Achieved 82% accuracy and deployed the model as an API-based web-service application on AWS instances using Docker. Show less

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  Scale AI

  Mar 2024 - now

  Computer Science Expert AI Data Trainer

  - Train Large Language Models (LLMs) using Reinforcement Learning from Human Feedback (RLHF).- Enhance the accuracy of major LLMs worldwide.- Contribute to the development of LLMs from top global companies like Google, OpenAI, Meta, and others.- Compare outputs of various LLMs under training.- Improve LLM responses for code generation, Q&A, and other objectives.- Handle implicit code execution: Develop necessary code for prompts requiring additional code routines for execution.- Run test prompts to identify and fix model failures during the Q&A process.- Create prompts for training datasets, focusing on model weaknesses identified by customers.- Contribute to LLM training for major development companies. Show less

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  Profesional independiente

  Jun 2024 - now

  Full-Stack Developer | Micro SaaS Project

  - Currently developing a micro SaaS platform for feedback management, designed as a multi-tenant web application.- Leveraging modern technologies, including Supabase for authentication and database management, Lemon Squeezy for subscription-based payments, and Vercel for deployment.- Building the frontend with Next.js, React.js, and TailwindCSS, and the backend using Node.js with Next.js App routes.- Focused on creating a seamless user experience with ShadcnUI and responsive design.- Main technologies: Next.js, React.js, Typescript, Node.js, Supabase, TailwindCSS, Git, Vercel. Show less