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Santiago Garcia

@santiagogarcia1

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Data Engineer and NLP-focused AI builder, turning cloud pipelines into real-time business insights.

Colombia

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What I'm looking for

I’m looking for a team where I can build production-grade data pipelines and NLP systems on Azure—optimizing performance end to end and delivering real-time, measurable impact in analytics and AI products.

I’m a Data Engineer who designs and delivers end-to-end analytics and NLP systems. At Ombia (2025–2026), I built the core architecture of a Sentiment Analysis Lakehouse integrating Facebook, Instagram, X, YouTube, and LinkedIn APIs, using Azure Data Lake, Synapse, Azure Functions, and the OpenAI API for NLP. I also led robust ETL deployments with automated Azure CI/CD and Docker-isolated execution, then improved query performance to reduce Power BI dashboard refresh times by 35%—enabling real-time marketing insights across five major platforms.

Earlier, at VerbaNex AI Lab (2023–2025), I researched emotion recognition in full conversational context, with results published in SemEval. I worked on text preprocessing and feature engineering (tokenization and sentence embeddings) using Pandas, NumPy, and Hugging Face, and built transformer/LSTM model architectures for sentences, emotions, speaker states, and more—improving performance with SOTA techniques like FlashAttention using PyTorch and PyTorch Lightning. I also completed a Deep Learning internship at ETIS Lab, improving SeeABLE for deepfake exposure using EfficientNet-b4 with supervised contrastive learning and bounded contrastive regression, alongside advances in anomaly detection and semi-supervised learning.

Experience

Work history, roles, and key accomplishments

Data Engineer

Ombia

Jan 2025 - Jan 2026 (1 year)

Designed and implemented a sentiment analysis lakehouse integrating multiple social media APIs and using Azure services and OpenAI for NLP tasks. Built and optimized ETL pipelines and improved Power BI dashboard refresh times by 35%.

Sentiment Analysis NLP Azure Synapse Azure Functions OpenAI API ETL Data Pipelines Azure Pipelines Docker Power BI

Data Science

VerbaNex AI Lab

Jan 2023 - Jan 2025 (2 years)

Conducted research on emotion recognition for full conversational context, published in SemEval and ranked highly on the leaderboard. Performed text preprocessing and built transformer/LSTM model architectures using NLP feature engineering and deep learning frameworks.

NLP SemEval Pandas NumPy Hugging Face Tokenization Feature Engineering Transformers PyTorch Pytorch Lightning

Deep Learning Intern

ETIS Lab

May 2023 - Aug 2023 (3 months)

Reviewed and improved the SeeABLE deepfakes exposure project using supervised contrastive learning and EfficientNet-b4 encoders. Advanced loss functions and deep learning techniques for anomaly detection and semi-supervised learning.

Deepfake Detection EfficientNet B4 Contrastive Learning Bounded Contrastive Regression (BCR) Loss Anomaly Detection PyTorch

Data Science and Machine Learning

Ecole Nationale Supérieure de l’Electronique

Feb 2023 - Aug 2023 (6 months)

Completed an Erasmus+ internship in Data Science and Machine Learning, including coursework in artificial intelligence, big data, statistics, and numerical methods.

Education

Degrees, certifications, and relevant coursework

Technological University of Bolívar

Electronic Engineer, Electronic Engineering

2019 - 2024

Activities and societies: Thesis: Emotion recognition and flip reasoning in English and mixed-coded conversations based on a valence, arousal and dominance approach.

Studied Electronic Engineering, including a thesis on emotion recognition and flip reasoning in English and mixed-coded conversations using a valence, arousal, and dominance approach.

Ecole Nationale Supérieure de l’Electronique et de ses Applications

Erasmus+ Internship, Data Science and Machine Learning

Activities and societies: Relevant courses: Artificial Intelligence and Big Data; Statistics; Numerical methods and Information theory.

Erasmus+ internship in Data Science and Machine Learning with coursework including Artificial Intelligence and Big Data, Statistics, Numerical methods, and Information theory.