DANIEL CHAVEZ
Hidalgo
Summary
Software engineer with 6+ years of experience in full-stack web development, delivering modern applications across various industries. Passionate about cloud deployments and tackling new challenges, with a strong interest in expanding leadership skills.
Overview
7
7
years of professional experience
Work History
Software Engineer II
Qualtrics
12.2023 - Current
- Implemented Spinnaker for continuous deployment, reducing deployment time by 60% and increasing release frequency from one to three times per week.
- Led the migration from Nomad to Kubernetes, optimizing AWS operational costs by 30% through auto-scaling, deprecating Jenkins pipelines, and leveraging Docker.
- Migrated widgets from Angular 12 to React as part of the Advanced Analytics Widgets team, applying SOLID principles for scalability and integrating REST APIs.
SOFTWARE DEVELOPER
Aspen Technology
09.2021 - 11.2023
- Designed and implemented the technical architecture for AspenTech's SPS product, contributing to the successful launch of version 1.
- Developed and optimized application features using .NET 6, C#, Angular 14, and REST APIs, following MVVM and Repository design patterns.
- Deployed and managed cloud solutions in AWS (EC2, RDS, Kubernetes) and Azure, working with SQL, Cosmos DB, and applying SOLID principles for maintainability.
FULL STACK .NET DEVELOPER
Secretary of Public Education
08.2018 - 08.2021
- Built a scholarship request system that increased processing speed by 50%, leveraging .NET Core 5, JavaScript, jQuery, and Bootstrap, with SQL Server as the database engine and MVC architecture for optimized performance.
- Integrated third-party APIs such as Gmail, Drive, WhatsApp, and QR generators to enhance user experience.
- Developed and improved internal financial systems, implementing a CI/CD strategy to streamline deployments and increase development efficiency.
Python Developer
Mirai Innovation Research Institute (Temporal Project)
09.2019 - 12.2019
- Developed a machine learning model for Tabio, enabling 4-6 week sales predictions and helping reduce overproduction and excess inventory.
- Trained and optimized an LSTM recurrent neural network using Python, Keras, and TensorFlow, ensuring accurate forecasting.
- Conducted big data analysis, preprocessing, and feature engineering to improve model performance using Python
Education
MSc. - Information And Computer Systems
Universidad Interamericana Para El Desarrollo
04-2023
B.S. - Software Engineer
Universidad Politécnica De Pachuca
07-2018
Skills
- JavaScript
- Python
- C#
- React
- Angular
- Kubernetes
- AWS
- Azure
Timeline
Software Engineer II
Qualtrics
12.2023 - Current
SOFTWARE DEVELOPER
Aspen Technology
09.2021 - 11.2023
Python Developer
Mirai Innovation Research Institute (Temporal Project)
09.2019 - 12.2019
FULL STACK .NET DEVELOPER
Secretary of Public Education
08.2018 - 08.2021
MSc. - Information And Computer Systems
Universidad Interamericana Para El Desarrollo
B.S. - Software Engineer
Universidad Politécnica De Pachuca
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