Daniel Bohn is a Solutions Architect with nearly a decade of hands-on software engineering experience, specializing in serverless architectures, Node.js, and AWS Lambdas while also designing scalable microservices in Java (Quarkus). He combines mobile expertise—building React Native apps and native modules in Java and Objective-C—with backend, database, and observability skills to deliver high-performance products for large clients like Banco do Brasil. Daniel has driven measurable improvements such as 52% average response-size reduction, accessibility features used by 300k+ users, and robust crash resolution workflows using Crashlytics and AppDynamics. His background in Computer Engineering and early work on Brazil’s NF-e integrations reflect a pragmatic focus on reliability, security, and state-specific compliance details. Comfortable across cloud platforms (AWS/GCP), databases, and multiple languages (Python, Java, Delphi), he pairs deep technical breadth with a bias for automation and cost-efficient, cache-driven optimizations.
9 years of coding experience
7 years of employment as a software developer
Computer Engineering, Computer Vision, Computer Engineering, Computer Vision at Universidade de Santa Cruz do Sul
Contributions:20 commits, 8 PRs, 42 comments in 2 years
Contributions summary:Daniel's contributions focused on modifying URLs and web service endpoints related to the Nota Fiscal Eletrônica (NFe) system, specifically for the state of Pernambuco. These changes involved updating URLs in both the application code and test files, ensuring the system correctly interacts with the state's tax authority servers. Further contributions involved the addition of `getDescricao` methods to various enums within the codebase, suggesting an effort to enhance code readability or provide more descriptive information. The user's work demonstrates a focus on maintaining the accuracy and functionality of the NFe system by addressing state-specific configuration details.
Contributions:10 commits, 11 pushes, 1 branch in 2 years 3 months
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