Laura Daniela Velador Jiménez is a Software Engineer and Front-End Developer with a strong academic background and practical experience in web development and programming.
Timeline
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Résumé
Jobs
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Front-End Developer
Kody Academy
Dec 2025 - Feb 2026(3 months)
Developed interactive exercises for an online educational platform focused on programming learning. Implemented front-end features using HTML, CSS, JavaScript, and PHP, improving the user learning experience. Collaborated with the team to create engaging UI elements for coding lessons and interactive activities.
Programming Instructor
Algorithmics
Aug 2025 - Current(11 months)
Teach Python programming to students aged 12–20, covering programming fundamentals, problem-solving, and computational thinking. Guide students in building interactive projects using Python libraries such as PyGame, PyQt5, and Pandas. Design hands-on coding activities that help beginners understand logic, algorithms, and software development concepts.
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Software Engineer
University of Colima - Dirección General de Vinculación
Jul 2025 - Dec 2025(6 months)
Led the modernization of the “Talent Pool" platform by migrating a legacy WordPress system to a custom architecture built with PHP and JavaScript, improving system maintainability and control. Introduced containerization using Docker to improve deployment, development environment consistency, and system scalability. Worked with institutional teams to modernize the platform and improve system maintainability.
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Software Engineering Intern
Nebusens
Jan 2025 - Jun 2025(6 months)
Conducted technical research on tools and APIs to automate client alarm notifications via WhatsApp messaging. Contributed to the development of front-end and back-end features for the internal platform Pulsar.
Average Grade: 9.48 / 10. Relevant Coursework: Data Structures, Human-Computer Interaction, Big Data & Data Mining, Web Development.
Projects (professional or personal)
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CAPTCHA Image Recognition
May 2024 - Jun 2024(2 months)
Developed a deep learning model to recognize characters in distorted CAPTCHA images. Implemented convolutional and recurrent neural network architectures (CNN + LSTM) to extract sequential text from images. Preprocessed image datasets and trained the model to improve recognition performance.