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Research Assistant

Language Sciences Faculty, Costa Rica Institute of Technology

Led research on Spanish text simplification and text complexity assessment using instruction-based large language models and deep learning. Designed algorithms, conducted experiments, authored research papers, and presented findings effectively.

• Large Language Models (LLMs)
• Natural Language Processing (NLP)
• Foundational Models
• Prompt Engineering

Researcher

Centro Nacional de Alta Tecnología

Conducted applied research in the Costa Rican pineapple industry, developing automated fruit detection methods from drone-based video for yield estimation. Designed and optimized deep learning models for robust and accurate pineapple detection under real-world conditions.

• Multi-Object Tracking
• Video and Image Analysis
• Unmanned Aerial Vehicles (UAVs)
• Precision Agriculture

Data Scientist

Accenture AI

Developed scalable search and classification systems for e-commerce, including a Python-based Search API with Elasticsearch and a multimodal product hierarchy classification engine leveraging text and image embeddings. Conducted search quality analysis using statistical methods, topic modeling, and clustering to improve retrieval performance. Tech stack: Azure ML, AWS SageMaker, Google Cloud Vertex AI, PyTorch, TensorFlow, ElasticSearch, OpenSearch, Hugging Face, Sentence Transformers.

• E-commerce Search API Development
• Elasticsearch Integration & Query Optimization
• Product Hierarchy Classification Engine
• Multimodal Text and Image Embeddings
• Search Engine Quality Analysis
• Statistical Analysis & Clustering
• Cloud Platforms: Azure, AWS, Google Cloud
• Deep Learning with PyTorch & TensorFlow

Chapter Chair, Costa Rica Section

IEEE Signal Processing Society

Led the IEEE Signal Processing Society Costa Rica Section, driving initiatives in research, education, and professional development.

• Organized technical talks, workshops, and networking events in signal processing.
• Fostered collaboration among academia, industry, and students.
• Promoted member engagement and community growth within the Society.

Student Representative, Region 9 (Latin America)

IEEE

Elected Student Representative for IEEE Region 9, advocating for students across Latin America within the IEEE Student Activities Committee (SAC).

• Represented Latin American student interests in global IEEE forums
• Collaborated with regional leaders to strengthen student branches and chapters
• Promoted networking, leadership, and professional development opportunities
• Supported initiatives to expand student participation in IEEE conferences and activities

Chair, Student Activities Committee – Costa Rica Section

IEEE

Led the IEEE Student Activities Committee in Costa Rica, advancing student engagement, leadership, and collaboration across universities.

• Coordinated nationwide initiatives to strengthen student participation in IEEE
• Promoted leadership and professional development opportunities
• Encouraged collaboration among student branches and affinity groups

Course Instructor

Centro Nacional de Alta Tecnología (CeNAT)

Delivered a workshop on 'Machine Learning Methods and Deep Learning with Images' as part of the Big Data School 2020.

• Taught practical applications of machine learning and deep learning with image data
• Contributed to capacity building in data science within the national research and education community

Collaborator

Focus Group on Artificial Intelligence for Health (FG-AI4H)

Collaborated in establishing a standardized framework for evaluating AI-based methods in healthcare, including diagnosis, triage, and treatment decision support.

• Co-authored a paper accepted at NeurIPS: ML4H Auditing – From Paper to Practice

Chair, Student Branch Chapter EDS TEC

IEEE Electron Devices Society

Chaired the IEEE Student Branch Chapter EDS at TEC, fostering student initiatives in electron devices and computing.

• Organized events and projects to engage students in electron devices and computing
• Encouraged STEAM participation from engineering and non-engineering students
• Enhanced student involvement in IEEE EDS technical and professional activities

Chair, Student Branch TEC

IEEE

Served as Chair of the IEEE Student Branch at TEC, leading projects and initiatives to advance technology and student engagement.

• Organized STEAM activities for engineering and non-engineering students
• Promoted student involvement in technical and professional development opportunities
• Strengthened collaboration within the IEEE community at local and regional levels

Master of Science (MS)

Instituto Tecnológico de Costa Rica

Computer Science

• Machine Learning
• Optimization
• Natural Language Processing
• Data Visualization
• Experimental Design
• Introduction to Research
• Advanced Operating Systems
• Automata Theory
• Deep Learning

Bachelor's Degree

Instituto Tecnológico de Costa Rica

Computer Science and Software Engineering

• Computational Molecular Biology
• Operating Systems
• Statistics
• Probability
• Discrete Mathematics
• Calculus
• Database Systems

PineSORT: A Simple Online Real-time Tracking Framework for Drone Videos in Agriculture

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops

PineSORT is a Multiple Object Tracking (MOT) system for drone-based agricultural monitoring. It improves tracking by adding motion direction cost, ORB-based camera motion compensation, a three-stage association strategy, and overlap management. It significantly enhances accuracy compared to BoTSORT and AgriSORT on pineapple drone datasets.

Simple Object Detection Framework without Training

2024 IEEE 6th International Conference on BioInspired Processing (BIP)

This paper introduces a simple object detection framework based on few-shot methods and Visual Foundation Models (VFM). The framework integrates object proposal, embedding creation, and classification. It is applied to pineapple localization in drone imagery, providing a scalable and cost-effective solution in data-scarce environments.

Artificial Intelligence in STEM Education: Interactive Hands-on Environment using Open Source Electronic Platforms

Tecnología en Marcha

This article describes a constructivist hands-on methodology to teach Artificial Intelligence using open-source electronic platforms such as Arduino, Raspberry Pi, and Snap Circuits. The approach emphasizes creativity, inclusion, and diversity while motivating students to develop innovative AI solutions for real-world problems.

Evaluation of the Influence of Multispectral Imaging for Object Detection in Pineapple Crops

2023 IEEE 5th International Conference on BioInspired Processing (BIP)

This research explores the use of multispectral drone images, combining RGB with near-infrared and red-edge channels, for object detection in pineapple crops. The study examines image alignment techniques (SIFT, ORB) and evaluates early and late fusion strategies for incorporating multispectral data into object detection pipelines.

The Women’s Antenna: An experience of community technology construction led by Cabécar women of Costa Rica

2023 IEEE International Humanitarian Technology Conference (IHTC)

This work documents the experiences of Cabécar women leaders in Costa Rica, highlighting their community-driven technology initiatives. The women created a local communication network inspired by cultural metaphors, bridging the digital divide while preserving ancestral wisdom and strengthening indigenous decision-making.

STEM education in semi-virtual interactive environment

Tecnología en Marcha

This paper proposes a semi-virtual learning model for STEM education during the Covid-19 pandemic. Volunteers provide synchronous guidance to students in interactive environments supported by workshops and virtual tools, ensuring continuity of STEM learning despite social restrictions.

ML4H Auditing: From Paper to Practice

Proceedings of the Machine Learning for Health NeurIPS Workshop (PMLR)

This work applies the ML4H audit framework proposed by the ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H) to three use cases: diabetic retinopathy, Alzheimer’s disease, and cytomorphologic classification for leukemia diagnostics. The study highlights the importance of bias, interpretability, and robustness assessments, bridging the gap between proposed guidelines and their application in real-world healthcare practice.