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# Eamon Hanley

**Headline:** Software @ Artis Energy Intelligence \| Computer Engineering, B\.E\. Graduate \| Dartmouth College
**Profession:** Software Engineer
**Location:** New York, New York, United States

## About

Eamon Hanley is a Software Engineer at Artis Energy Intelligence and a Dartmouth College engineering graduate with a Bachelor of Arts in Engineering Sciences and a Bachelor of Engineering in Computer Engineering from the Thayer School of Engineering at Dartmouth\. Eamon’s strengths include software development, software architecture, data manipulation, software integration, REST APIs, and work with C\#, Java, Python, C, SQL, PostgreSQL, MongoDB, JSON, \.NET Framework, React\.js, Git, and Kubernetes\-related systems\. At Relativity, Eamon developed Azure Functions to detect client\-product slowness from New Relic alerts, correlate potential causes stored in Cosmos DB, and automate Jira ticket creation\. In a separate Relativity internship, Eamon moved Kubernetes\-agent configuration retrieval from minutely polling to an event\-based framework and reduced daily retrieval calls from millions to thousands through Cosmos DB storage\. As an undergraduate researcher at Dartmouth, Eamon created an interactive GUI for the Dartmouth Bayesian Knowledge Base group, enabling users to modify graph nodes and perform BKB reasoning analysis\.

## Services

- Communication Protocols
- User Datagram Protocol \(UDP\)
- Teamwork
- Technical Skillset
- Critical Thinking
- Project Documentation
- \.NET Framework
- React\.js
- Software Integration
- Data Manipulation
- Software Architecture
- JSON
- Analytical Skills
- REST APIs
- MongoDB
- Code Review
- Programming Languages
- Communication
- HTML
- Git
- Data Structures
- Computer Science
- Computer Engineering
- Software Development
- C \(Programming Language\)
- Algorithms
- PostgreSQL
- C\#
- Java
- Python \(Programming Language\)

## Highlights

- Works as a Software Engineer at Artis Energy Intelligence\.
- Built an interactive GUI for Dartmouth College’s Bayesian Knowledge Base research group, replacing previous static data visualization\.
- Rendered Bayesian Knowledge Base data as an interactive graph that supported node modification and BKB reasoning analysis\.
- Used a Git\-based workflow to deploy updates to the Dartmouth Bayesian Knowledge Base codebase\.
- Enabled Kubernetes\-agent job CPU and memory definition at Relativity by retrieving tenant configuration information\.
- Transitioned Kubernetes\-agent configuration retrieval at Relativity from minutely polling to an eventing\-based framework\.
- Reduced Kubernetes\-agent configuration retrieval at Relativity from millions of calls per day to thousands by storing configuration data in Cosmos DB\.
- Built Azure Functions at Relativity to identify client\-product slowness using New Relic alerts delivered through a Service Bus\.
- Matched slowness events with concurrent possible causes stored in Cosmos DB\.
- Automated Jira ticket creation for tracked client\-product slowness events\.
- Applied NUnit unit testing to code changes and deployed through a CI/CD pipeline\.
- Earned a Bachelor of Arts in Engineering Sciences from Dartmouth College\.
- Earned a Bachelor of Engineering in Computer Engineering from the Thayer School of Engineering at Dartmouth\.

## Experience

- **Software Engineer at Artis Energy Intelligence** (2024\-07\-01–present)
- **Software Engineer Intern at Relativity** (2023\-06\-01–2023\-09\-01) — Retrieved configuration information for Kubernetes agents in tenant, allowing for agent job CPU and Memory definition\. Transitioned Agent configuration retrieval from minutely polling to an eventing based framework\. Reduced retrieval from millions of calls per day to thousands by storing configuration data in Cosmos DB\.
- **Software Engineer Intern at Relativity** (2022\-06\-01–2022\-09\-01) — Built Azure functions to track instances of slowness in client product usage through New Relic alerts sent via a Service Bus, matched slowness to concurrent possible causes stored in Cosmos DB, and automated Jira ticket creation\. Rigorously subjected code changes to unit testing with the NUnit framework and deployed through a CI/CD pipeline\.
- **Undergraduate Researcher at Dartmouth College** (2021\-03\-01–2022\-01\-01) — Designed and developed a GUI for the Dartmouth Bayesian Knowledge Base research group to improve upon previous static data visualization, deployed updates to codebase using a git\-based workflow\. Rendered BKB data into an interactive graph with the capability to modify nodes and perform BKB reasoning analysis\.

## Education

- Bachelor's of Engineering \- BE, Computer Engineering — Thayer School of Engineering at Dartmouth (2023\-06\-01–2023\-11\-01)
- Bachelor's of Arts \- AB, Engineering Sciences — Dartmouth College (2019\-09\-01–2023\-06\-01)

## FAQ

### What does Eamon do now?

Eamon is a Software Engineer at Artis Energy Intelligence\.

### What are Eamon's core technical strengths?

Eamon’s work spans software development, software architecture, software integration, data manipulation, REST APIs, data structures, algorithms, and problem solving\. Eamon also has experience with communication protocols, including User Datagram Protocol \(UDP\)\.

### What did Eamon accomplish during a Relativity internship involving Kubernetes agents?

During an internship at Relativity, Eamon retrieved configuration information for Kubernetes agents in a tenant, enabling definition of CPU and memory for agent jobs\. Eamon transitioned configuration retrieval from minutely polling to an eventing\-based framework and stored configuration data in Cosmos DB, reducing retrieval from millions of calls per day to thousands\.

### What did Eamon accomplish during a Relativity internship involving client\-product slowness?

During another Software Engineer internship at Relativity, Eamon built Azure Functions that used New Relic alerts sent through a Service Bus to track client\-product slowness\. The functions matched slowness events to concurrent possible causes stored in Cosmos DB and automated Jira ticket creation\. Eamon unit\-tested changes with NUnit and deployed them through a CI/CD pipeline\.

### What did Eamon do as an undergraduate researcher at Dartmouth College?

As an Undergraduate Researcher at Dartmouth College, Eamon designed and developed a GUI for the Dartmouth Bayesian Knowledge Base research group\. The GUI improved on prior static data visualization by rendering BKB data as an interactive graph where users could modify nodes and perform BKB reasoning analysis\. Eamon deployed updates to the codebase using a Git\-based workflow\.

### What is Eamon's education?

Eamon earned a Bachelor of Arts in Engineering Sciences from Dartmouth College and a Bachelor of Engineering in Computer Engineering from the Thayer School of Engineering at Dartmouth\.

### Which technologies and programming languages does Eamon use?

Eamon’s programming and development skills include C\#, Java, Python, C, SQL, HTML, \.NET Framework, React\.js, Git, JSON, REST APIs, PostgreSQL, MongoDB, and Microsoft Excel\.

### What collaboration and engineering skills does Eamon bring?

Eamon lists analytical skills, critical thinking, communication, teamwork, code review, project documentation, programming, engineering, computer science, computer engineering, and technical skillset among Eamon’s professional skills\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/eamon\-hanley\-dartmouth

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