About

Work Experience

• Application Developer, 

  Aug, 2021 - Dec, 20215 months

  At CENDI, I focused on developing internal and commercial web applications, primarily working on the frontend. I created modern, visually appealing landing pages using HTML, CSS, JavaScript, and PHP. This role helped me improve my responsive design skills and learn how to collaborate effectively with teams to meet project goals.

• Full-Stack Developer, 

  Jan, 2023 - Dec, 20231 year

  At Wundercomm S.A.S., I contributed to the development of an open-source web application with commercial potential. I focused on enhancing AI functionalities by experimenting with and optimizing model parameters. Additionally, I addressed challenges related to podcast transcription execution by using virtual environments and tuning parameters for better local execution. I worked closely with both developers and designers to ensure we delivered high-quality applications.

• Professional Intern, 

  Nov, 2024 - Present

  During my internship at Tigo Colombia, I worked in the Product and Pre-Sales Directorate, contributing to various projects such as creating SQL queries, building ETL pipelines, automating processes, and developing Power BI dashboards. I also played a key role in designing a machine learning-based telecommunications service recommendation system. Along the way, I tackled challenges like cleaning the database and balancing classes, which ultimately improved the system’s F1-score to 0.74. I had the opportunity to meet with product specialists to better understand their needs and deliver tailored solutions.

Projects Experience

• SpeakWize -- (Wundercomm S.A.S)

  Jan, 2023 - Nov, 202310 months

  Developed a web application that enables users to query an AI about podcast content, leveraging Large Language Models (LLMs) for contextual understanding. Contributed to frontend development with NuxtJS and backend tasks using Supabase, focusing on podcast transcription pipelines, session management, and user authentication. Played a key role in optimizing AI interaction and data preprocessing pipelines to improve accuracy and performance.

  • Reduced podcast transcription execution times by optimizing preprocessing and leveraging parallel processing techniques.

  • Implemented speaker diarization to identify multiple speakers in podcasts, enhancing data segmentation for LLM training and inference.

• Recommendation System with Machine Learning

  Nov, 2024 - Apr, 20255 months

  Developed a machine learning-based recommendation system to assist pre-sales teams in suggesting tailored services to clients. Leveraged Python and libraries like Pandas and Scikit-learn for data processing and modeling. Built a web interface with HTML, CSS, JavaScript, and PHP, integrated with SQL Server, MySQL, and Oracle databases.

  • Achieved an F1-score of 0.71 across a diverse product range.

  • Optimized database interactions for efficient multi-database access.

  • Created an intuitive web interface for seamless user interaction.

• Wrappify -- (Personal Project)

  Dec, 2024 - Feb, 20252 months

  Developed an application to analyze Spotify listening history and uncover personalized patterns and trends. Utilized Python and Pandas to extract key metrics such as most active listening days, time trends, and yearly listening streaks. Built an interactive frontend with NuxtJS and Chart.js, featuring dynamic visualizations (bar charts, pie charts, heatmaps) for intuitive data exploration. Currently showcases personal data, with future plans to support user-uploaded data.

Skills

Education

Certificates

Interests

References