Kevin
Ewing
Cloud Service Availability
Developer at
Genesys
Languages
I have experience programming both
professionally and academically in the
following
languages:
C, Clojure, Haskell, Java, JavaScript,
Python, R
Development
Tools
I have set up, maintained, and
configured a variety of development
tools, including:
Ansible, AWS, Bedrock, Celery,
CloudFormation, Docker, Git, GitHub
Actions, Jenkins,
New Relic, Terraform.
Frameworks
I have worked on and contributed to
services that use the following
frameworks:
Flask, React, Shiny, Spring, ggplot2,
Serverless Framework, Unreal Engine.
Professional Experience
I am a software engineer with experience building internal tools, automation systems, and access management solutions in both startup and enterprise environments. My background spans full-time engineering roles and leadership in data science and teaching, with a strong foundation in system-level programming, infrastructure-as-code, and cross-functional collaboration.Software Engineer
February 2024 – Present In my current role as a Software Engineer, I've developed company-wide rollback reporting and monitoring software to enhance team performance transparency. I've also worked on automating feature deployments, including integrating updates for our internal change management software to streamline production environment updates. Additionally, I've created user classification software to manage resource access levels based on user roles, ensuring efficient and secure access control across the organization.Associate Software Engineer
June 2023 - January 2024As an Associate Software Engineer at Genesys, I built, maintained, and improved access management automation tools that handled cloud resource and resource package provisioning, de-provisioning, and access auditing. These improvements significantly boosted our service's resilience and ensured company-wide security and compliance. Additionally, I refined service monitoring, and reporting and made improvements to CI/CD pipelines.Middlebury
Consulting Group Lead Data
Scientist
September 2022
– May
2023As the Lead
Data Scientist
for the Middlebury Consulting
Group, I oversaw an 8-member data science
team, steering
technical initiatives and projects. I
managed a team of
developers to provide a third-party review
and consultation on
the World Data Lab's World Population Clock
model, addressing
technical debt and recommending future
development strategies.
Additionally, I collaborated with consulting
teams, offering
guidance on data science-driven
decision-making and
resource-gathering to improve project
outcomes.Computer
Science
Department Teaching Assistant
September
2022 – May 2023As a
Computer Science
Department Teaching Assistant, I hosted
biweekly office hours for the upper-level
Systems Programming
elective, assisting students with projects
to rewrite the C
standard library functions, fread(3),
fwrite(3), mmap(2), and
malloc(3), as well as command line tools
including a shell and
ls. Additionally, I independently built
Shiny web applications
in R to visualize tick population densities
and pathogen
trends. I also ensured polished demos and
presented for the
new Middlebury College midd.data
initiative.
Projects
Outside of work, most of my coding is driven by creativity—often visual, often exploratory. From generative art experiments to interactive 3D web scenes, my personal projects are a playground for combining technical precision with artistic expression.
Generative
Art
Blog
My generative art blog offers a
behind-the-scenes look at my
creative and coding process using p5.js.
By blending code with
curiosity, it explores the patterns,
experiments, and
unexpected beauty that emerge at the
intersection of logic and
play.
February 2025 -
Current
Lambada
Lambada is a project to provide a macro
interface between the
AWS Lambda Java runtime and Clojure
code. By bridging the gap
between these technologies, Lambada
enhances the development
experience for those working with
serverless functions in
Clojure.
October 2023
Ant
Pheromones
Simulation
This project, written in p5.js, explores
the intersection of
algorithms and creativity by simulating
agents to generate
art. Each agent follows predefined rules
and behaviors,
creating intricate and unique visual
patterns. By leveraging
the capabilities of p5.js, the project
demonstrates how simple
rules can lead to complex and
aesthetically pleasing results,
showcasing the potential of generative
art.
December 2022 - March
2023
GitHub
Three.js
Cabin
This project features a cabin model I
created in Blender and
rendered real-time in the browser using
three.js. It
demonstrates the seamless integration of
3D modeling and
web-based rendering, providing an
interactive and visually
appealing experience.
June 2023 - August
2024
GitHub