Eoin Shanaghy

Backend Engineer

https://www.opentalent.in/eoin-shanaghy

fourtheorem.com

fourTheorem

Key Strengths

Extensive personal project experience across multiple programming languages (Rust, JavaScript, Python, Java, C++, Groovy, TypeScript).
Demonstrated interest in serverless architectures, cloud platforms (AWS), and infrastructure as code (Terraform).
Experience with low-latency runtimes and microservices, indicating a focus on performance and scalable systems.
Exposure to various development tools and practices (Docker, Makefiles, CMake).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive personal projects demonstrate strong initiative and a passion for technology, which could indicate a good cultural fit for an innovative environment. However, the lack of team-based project descriptions or collaborative experience makes it difficult to fully assess cultural fit. The current role as 'Backend Engineer' at fourTheorem is a positive indicator of professional alignment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily through personal projects, and there are no completed psychometric or English tests.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

whisper_lambda_cpp

December 22, 2023 – January 18, 2024

whisper_lambda_cpp — Dev.to repository

View Project

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.

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terraform-demo

February 18, 2023 – June 11, 2024

A repo to demonstrate a complete Terraform Demo

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podwhisperer

October 25, 2022 – Present

Pod transcription with OpenAI Whisper and AWS

View Project

weshare.click

August 17, 2022 – June 17, 2024

A personal file transfer app on AWS

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object-lambda-transform

March 19, 2021 – March 19, 2021

S3 Object Lambda example with on-the-fly CSV to Parquet

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s3-trigger-compare

March 12, 2020 – March 12, 2020

Simple SAM application to compare S3 notifications to EventBridge S3 data events via CloudTrail

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node-seneca-base

March 23, 2016 – January 31, 2018

Docker layer optimisation for Node.js microservices

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PhoenixChatAndroid

May 27, 2015 – October 4, 2016

Sample application for Phoenix Channels using the JavaPhoenixChannels library

View Project

JavaPhoenixChannels

April 30, 2015 – June 18, 2019

Java and Android channel client for the Phoenix Framework

View Project

Key Strengths

Extensive personal project experience across multiple programming languages (Rust, JavaScript, Python, Java, C++, Groovy, TypeScript).
Demonstrated interest in serverless architectures, cloud platforms (AWS), and infrastructure as code (Terraform).
Experience with low-latency runtimes and microservices, indicating a focus on performance and scalable systems.
Exposure to various development tools and practices (Docker, Makefiles, CMake).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily through personal projects, and there are no completed psychometric or English tests.

Eoin Shanaghy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit