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Vane Salazar

@vanesalazar

Technical Support Engineer at PROS resolving escalated airline platform issues and building Python tools to automate team tasks.

Ecuador

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At PROS, I resolve escalated technical tickets for airline web platforms, tracing ambiguous issues through troubleshooting and technical documentation. I also maintain HTML and Python code for client pages and test REST APIs with Postman and Bruno.

I developed internal Python tools to automate recurring tasks, including URL mapping and an image hosting system on AWS. I document processes and verified solutions in Confluence.

Earlier, I worked on Big Data processes for Telefónica Ecuador at SoftConsulting and diagnosed AI and NLP pipeline issues at Nodel LLC. My work has included data quality audits, social network analysis, and research into EEG signals and brain-computer interfaces.

Experience

Work history, roles, and key accomplishments

Current

Customer Support Engineer I

Current

PROS

Jul 2023 - Present (3 years 3 months)

Resolved escalated technical tickets from airline clients, diagnosing ambiguous issues in web platforms through deep troubleshooting and verification against technical documentation. Developed and maintained HTML and Python code to customize and support client web pages, and created internal Python tools to automate recurring tasks.

Python HTML REST APIs Postman Bruno Jira Confluence AWS VPN Technical Documentation

Big Data Specialist

SoftConsulting

Jun 2023 - Jul 2023 (1 month)

Implemented scalable Big Data processes for Telefónica Ecuador, integrating AI techniques for predictive analysis. Optimized Oracle queries and performed data quality audits with Python.

Big Data AI Oracle Python Data Quality

Technical Instructor — Data Science and AI

Escuela Superior Politécnica de Chimborazo

Feb 2023 - Jul 2023 (5 months)

Designed and delivered AI and Data Science training for university faculty in the Mathematics department. Developed instructional materials and hands-on sessions using Python and supervised classification models.

Python Data Science AI Supervised Learning Training

Data Scientist

Nodel LLC

Feb 2020 - Jan 2023 (2 years 11 months)

Diagnosed and resolved complex issues in AI and NLP pipelines, including data cleaning, semantic understanding, clustering, and NER, tracing root causes in every incident. Conducted social network analysis using graph theory and AI algorithms, achieving a 45% improvement in result quality through iterative troubleshooting of ML/Deep Learning models.

Python NLP Machine Learning Deep Learning Graph Theory Clustering NER Troubleshooting

Researcher — AI & Computational Neuroscience

GNB Lab · Universidad Autónoma de Madrid

Jul 2019 - Feb 2020 (7 months)

Autonomously resolved complex technical problems in EEG signals and BCI, applying ML and AI techniques to identify patterns and diagnose failures in cognitive process classification. Presented results as a speaker at the international conference IWANN 2021.

Machine Learning AI EEG BCI Research Python