CV

Junior Python Developer - Prompt Engineering

AI GENERATIVE S.A.S. – AIGEN S.A.S.

Utilizing text-to-image models to generate digital media content for social media, featuring fictional characters or non-real personas.

• Python Programmer
• Prompt Engineering

Professor

Escuela Tecnológica Instituto Técnico Central (ETITC)

Teaching Java programming (both backend and frontend), databases, operating systems, software design, and data structures to systems engineering university students.

• Programming Professor for System Engineering students

Junior Python Developer - Prompt Engineering

MarBAI

Create, deploy, and evaluate intelligent agents using Python and REST APIs to generate digital content for social media.

• Python Programmer
• Prompt Engineering

Particular Professor

Ingresar a la U

Teach mathematics and physics in a preparatory course for the state exam Saber 11, administered by ICFES in Colombia. In this role, I educated a diverse group of students from various regions, both rural and urban, utilizing PhET simulations to enhance their learning experience.

• Teaching Mathematics and Physics
• Dynamic and Funny Lessons

Undegraduate Intership for Biological Research

São Carlos Institute of Physics, Universty of Sao Paulo (USP)

Set up and contrast Monte Carlo (MC) and molecular dynamics (MD) simulations of a protein-ligand system to generate structured data (positions, velocities, RMS, etc). In addition, analyze the structured data generated by the MC and MD simulations using Markov model algorithms (lag-time, hiden markov chains, etc).

• Molecular Dynamics (MD)
• Monte Carlo (MC) simulations
• LIBELA
• Certificate

Summer Short Term Scholar

Electrical & Computer Engineering, University of Delaware (UD)

Analyze and visualize long raw audio data using digital signal processing and Matlab, 2-week continuous records from a microphone in a the Delaware Bay river.

• Digital Signal Processing (DSP)
• Sound Characterization
• Matlab
• Certificate

Bachelor of Science in Physics (B.S.)

National University of Colombia

Physics Department

• Numerical Methods
• Numerical Optimization
• Acoustics
• Advanced Simulation Methods for Physicist
• Grade Point Average (GPA): 4/5

Technician

Servicio Nacional de Aprendizaje (SENA)

Center for Electricity, Electronics and Telecommunications

• Residential Electricity
• Microcontrollers
• Digital and Power Electronics

Awarded Jhoti and Salazar Scholarship

São Carlos Institute of Physics, University of Sao Paulo (USP)

Scholarsip to investigate molecular dynamics

Second best undergraduate dissertation in physics

Physics Department, National University of Colombia (UNAL)

Second best undergraduate dissertation in physics

III Colombian Conference on Applied and Industrial Mathematics (MAPI 3)

Universidad Industrial de Santander (UIS)

Mathematics Department

• Applied Mathematics
• Birdsongs
• Numerical Optimization
• Certificate

Machine learning for quantum matter and technology

Universidad de los Andes

Mathematics Department

• Machine Learning
• Quantum Matter

Design, development, and evaluation of a computational physical model to generate synthetic birdsongs from recorded samples

Physics Department, National University of Colombia

In this study, we introduce a physical-computational model designed to automate the generation of birdsongs from recorded samples. By integrating concepts from numerical analysis, signal processing, and numerical optimization, we formulate the problem as a minimization task to identify optimal parameters that accurately replicate the tempo-spectral features of original birdsongs. Our model undergoes extensive testing and evaluation, primarily focusing on the Rufous-collared Sparrow songs, achieving impressive results with relative errors in fundamental frequency below 2%. Additionally, we evaluate the model on the Ocellated Tapaculo and Mimus Gilvus species, known for their simpler songs. The results demonstrate the model’s robustness and versatility. To showcase its capabilities, we generate multiple syllables from a single recording, highlighting the model’s potential as a highly effective data augmentation technique for birdsongs. This novel approach addresses the challenge of data scarcity in birdsong analysis, contributing significantly to various fields such as biology, neuroscience, computer science, and ecology.

Birdsongs

A python package to analyze, visualize and generate synthetic birdsongs.

• Sound Produciton, Syrinx
• Birdsongs
• Numerical Optimization
• Signal Processing
• Open Source

Molecular modeling and simulations

Study and evaluation of the unbinding kinetics of Mineralocorticoid (MR and MR-S810L) receptor steroid agonist Cortisol (COL), Aldosterone (AS4), and Progesterone (STR) ligands using Molecular Dynamics (MD) and Monte Carlo (MC) simulations, LiGaMD and LiBELa softwares respectively.

• Molecular Dynamics
• Monte Carlo Simulations
• Open Source

Soundscapes analysis - maad

Create code, examples, and documentation of spectral and time trait functions.

• Digital Signal Processing (DSP)
• Python

Aprender - A New Way of Learning

A course preparatory of physics and mathematics for the exam Saber 11 applied by ICFES. I designed, created and hosted a homepage for the preparatory. For the webpage I implemented the Moodle platform as a Learning Management Platform. Furthermore, I teach mathematics and physics, I designed and created of lessons and tests for evaluation.

• Teaching Mathematics and Physics
• Full bStack Web Developer

Recorder Characterization

Study the recorder musical instrument from experimental, theoretical, and computational physics. Addionally, analyze and visualize the structured data generated and measured from the study in order to compare them.

• Acoustics of Musical Instruments
• Sound Recording
• Lattice Boltzmann Simulations