Data-oriented Software Engineer with a strong interest in Data Analytics and Data Engineering. I work with structured data, SQL-based analysis, and cloud-native data pipelines, and I have hands-on experience building event-driven, Fog–Cloud architectures on AWS. My academic and project background in machine learning strengthens how I approach data end-to-end — from ingestion and processing to analysis and insight generation.
Currently finishing a B.S. in Computer Science and Mathematics at the National University of San Agustín (Arequipa, Perú).
- Epileptic seizure detection (thesis) — CNN and Transformer architectures with adversarial learning, applied to EEG signals for seizure detection.
- Real-time EEG event analytics pipeline — a Fog–Cloud architecture using Amazon Kinesis, Lambda, S3, Glue, Athena, DynamoDB, and SNS for near-source processing, cataloging, and automated alerting.
Languages
Cloud & DevOps
Data & Databases
Backend & Frontend
Arequipa, Perú 🇵🇪 · Open to Data Analytics / Data Engineering roles