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Daniel Izquierdo

@danielizquierdo

Lead Data Architect and AI Engineer at Seagull Software LLC, built a recommendation system that alerts clients to operational bottlenecks.

El Salvador
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At Seagull Software LLC, I architected an internal predictive recommendation system using Python, LangChain, N8N, and Google Gemini to alert clients to operational bottlenecks.

I lead the design of GCP ETL and data lake infrastructure processing over 10 million daily events. I also migrated legacy pipelines to GCP Dataflow, reducing execution time by 40%.

At COMPSESA S.A., I engineered Apache NiFi pipelines for high-volume sensor telemetry and designed microservices to ingest IoT data via MQTT.

Earlier, at RedFenix S.A., I developed demographic segmentation models and graph-based algorithms in Neo4J. At Datilmedia S.A., I built scalable serverless microservices using AWS Lambda, API Gateway, and AuroraDB.

Experience

Work history, roles, and key accomplishments

SL
Current

Senior AI & Data Engineer

Seagull Software LLC

May 2022 - Present (4 years 5 months)

Architected an internal predictive recommendation system using Python, LangChain, N8N, and Google Gemini. Led the design of scalable ETL and data lake infrastructure on GCP, processing over 10 million daily events with zero downtime.

CS

Lead of R&D (Big Data & IoT)

COMPSESA S.A.

Jan 2018 - May 2022 (4 years 4 months)

Engineered scalable ETL pipelines using Apache NiFi to route high-volume sensor telemetry data. Designed and maintained microservices on Azure/AWS to ingest IoT payload data via MQTT.

RS

Software Engineer (Data & Algorithms)

RedFenix S.A.

Dec 2016 - Dec 2017 (1 year)

Architected segmentation models using demographic data to increase ad revenue. Researched and developed graph-based algorithms to identify social relationships using Neo4J.

Education

Degrees, certifications, and relevant coursework

Escuela Superior Politécnica del Litoral (ESPOL) logoEE

Escuela Superior Politécnica del Litoral (ESPOL)

Computer Science Engineering, Computer Science Engineering

2011 - 2017

Activities and societies: Ranked 1st Regionally and 2nd Nationally in IEEEXtreme Programming 10.0; Winner in the Resilient Cities challenge.

Pursued a degree in Computer Science Engineering, developing an estimation system using Point Cloud Analysis and Support Vector Machines. Ranked 1st regionally and 2nd nationally in IEEEXtreme Programming 10.0.

Deeplearning.ai logoDE

Deeplearning.ai

Machine Learning Specialization, Machine Learning

Completed the Machine Learning Specialization.

Cloudskillsboost logoCL

Cloudskillsboost

Serverless Data Processing, Serverless Data Processing

Completed the Serverless Data Processing certification.

Hortonworks logoHO

Hortonworks

Hortonworks Data Platform Certified (HDPCA), Data Platform Administration

Earned the Hortonworks Data Platform Certified Administrator (HDPCA) certification.

SEMTECH logoSE

SEMTECH

LoRaWAN Academy, LoRaWAN

Completed the LoRaWAN Academy certification.

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