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Senior Software Engineer @AWS Lambda
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AWS
iOS Developer
June 24, 2026 – Present
llrt
September 20, 2023 – Present
LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.
View Projectquarkus-native-distroless
January 12, 2021 – January 12, 2021
Showcase a Quarkus native app in a Distroless container
View Projectpizza-store
November 2, 2020 – February 7, 2021
Demo application of my "asynchronous notifications" talk
View Projectaws-lambda-extensions
August 10, 2020 – Present
A collection of sample extensions to help you get started with AWS Lambda Extensions
View Projectgithub-trending-heroku
August 6, 2018 – August 30, 2023
github-trending-heroku — repository
View ProjectMDRotatingPieChart
April 14, 2015 – November 21, 2019
An iOS library to draw beautiful pie charts
View Projectjira-issue-easyCopy
March 25, 2015 – March 25, 2015
A Chrome extension to copy the issue number + the issue description in one click !
View ProjectCultural Fit Analysis
The candidate demonstrates a strong inclination towards open-source contributions and exploring various technologies (Rust, JavaScript, Go, Java, Python, Swift). This breadth of interest could be a positive for a culture that values continuous learning and cross-functional understanding. However, the target role is 'iOS Developer', and while Swift is present, the majority of personal projects lean towards backend, runtime, and general web technologies. This broad interest might indicate a good cultural fit for innovation but also a potential lack of deep, focused commitment to the iOS ecosystem specifically, which could be a concern for a dedicated iOS role. The current role at AWS as an iOS Developer is a strong positive for cultural alignment with the target role.
Soft Skills & Operational Fit
The candidate's diverse personal projects suggest strong initiative, curiosity, and a proactive approach to learning new technologies. The nature of these projects (libraries, extensions, performance analysis) indicates a problem-solving mindset and an interest in optimizing systems. However, without psychometric test results or interview data, specific soft skills like teamwork, stress handling, or communication clarity cannot be definitively assessed.