Joel Borrero Email & Phone Number

Barranquilla, CO

United States

• Python LLM Trainer | Machine Learning Expertise | LLM Trainer @AppleAs a Python LLM Trainer at Apple, I develop high-quality code to train large language models (LLMs) for a GPT model, focusing on enhancing natural.
• Developed and implemented high-quality Python code for training GPT models, focusing on improving performance and accuracy.
• Contributed to research and development efforts in NLP, exploring new techniques for model training and optimization.
• Designed and implemented data preprocessing pipelines to ensure high-quality training data for GPT models.

Bogotá, Capital District, Colombia

A versatile software development company where I've primarily focused on creating innovative mobile apps using Flutter. I've played a key role in the successful publication of two apps on both major app stores, demonstrating my ability to deliver end-to-end mobile solutions. I've also leveraged my Python skills to automate data acquisition through web.

Barranquilla, Atlántico, Colombia

• At Peacedev, I've thrived in a dynamic, full-stack development environment, leveraging a diverse range of technologies to create innovative solutions across various industries:
• TMT Global: Developed a cutting-edge online crypto learning platform (Python/Flutter) to empower users with financial knowledge.
• BlaBla: Created an interactive online teaching app (Python/Flutter), facilitating seamless scheduling and communication between students and teachers.
• Unity: Built a crowdfunding platform (Python/Flutter) dedicated to supporting impactful social projects.
• Belihebe: Maintained an online e-commerce platform. Leveraged third-party APIs to analyze metrics like acne, redness, and pores, providing users with personalized insights, featuring innovative facial status analytics.

Bogotá, Capital District, Colombia

At Molova.co, I developed and maintain a critical web scraper that aggregates clothing data from multiple brands nationwide. Initially built with Selenium, I transitioned the scraper to a more scalable and efficient Django Rest Framework-based API, leveraging Celery workers for handling long-running processes.