Hi, I'm Vladimir Alfaro! A Machine Learning Engineer with a strong foundation in full-stack development. I have a passion for constantly learning and improving my skills so I keep studying continuously. As a result, I have developed a wide range of projects in the fields of artificial intelligence, web development, and mobile development.

Almost at the end of my degree as an Electronic Engineer, I was able to study the theory behind the deep learning algorithms and computer vision, which has allowed me to develop projects in the field of AI, working with neural networks like FCNN and CNN to make classification/prediction tasks, and using RAG approach to develop a custom chatbot powered by LLM. You can found more details in the Experience and Projects sections.

After finishing my studies, I could work as a web developer trying to improve my skills and knowledge in this field. I have been able to develop web and mobilie applications (for both, Android and iOS) using a bunch of technologies, libraries, and frameworks . Listed below are all my technical skills that I am proficient in:

1. Relief Applications - Full Stack Developer

   SSr.

   October, 2023 - Present
   • • Developed a RAG-based chatbot using Python and LlamaIndex to query ChatGPT API with PDF documents. Enhanced context by integrating relevant legal and policy information from the documents.
   • • Supported the development of tree-based AI models for use in simple prediction tasks, using fitness data.
   • • Optimized the database used for training the previous models, applying techniques to filter and restructure the information, as well as increasing the total samples.
   • • Performed maintenance on several different projects in Angular and Django/Express, fixing issues, creating new components, pages or endpoints.
   • Typescript
   • Angular
   • Sass
   • Python
   • Django
   • Django Rest Framework

2. Autopartes RyJ - Frontend and Mobile Developer

   Jr.

   February, 2022 - October, 2023
   • • Developed and maintained the company’s web application, using Next.js 13 and React.
   • • Led the development of the mobile application with Expo and React Native.
   • • Performed the configuration and versioning to publish the application on PlayStore and AppStore.
   • • Made some minor fixes in the backend with Django and Django Rest Framework.
   • Typescript
   • Next.js (React)
   • Tailwind
   • Expo (React Native)
   • Django

3. Simón Bolívar University and Inmuno21 Laboratory - Machine Learning Engineer

   Jr.

   October, 2021 - October, 2022
   • • Researched, designed and developed an image classifier based on convolutional neural networks (CNN) to analyze medical images with antinuclear antibodies (ANN) as my final degree project.
   • Python
   • Pandas
   • Numpy
   • Scikit-learn
   • Pytorch
   • matplotlib
   Reference

Please feel free to reach out if you have any questions or would like to work together on a project. Thank you very much for viewing my portfolio! 🚀