Ilan Filonenko
Engineering Group Lead, Cloud Native Data Analytics
Village of Scarsdale, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolIlan Filonenko is an engineering leader with 11 years of hands-on experience building cloud-native data and ML infrastructure, currently leading Bloomberg’s Cloud Native Data Analytics group. A Cornell B.S./MEng in Computer Science, he has deep expertise in Spark, Kubernetes, and data-platform services—contributing upstream to notable projects like Apache Spark and KServe to improve Kubernetes integrations, observability, and stability. He excels at bridging platform engineering and product needs, having led teams responsible for ingestion, exploration, and Spark infrastructure used across enterprise and internal Bloomberg products. A self-directed learner with a keen aesthetic sensibility, Ilan also brings creativity from years as an amateur classical pianist and cellist, which informs his approach to elegant, maintainable systems.
11 years of coding experience
13 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell UniversityHighschool Diploma General Studies, Highschool Diploma General Studies at Edgemont Jr./Sr. High School
English, Russian
Github Skills (30)
kubernetes10
docker10
spark10
python10
dockers10
java10
scala10
javas10
go10
kubernetes-pods10
devops10
knative10
testing9
r9
flask-ask9
Programming languages (11)
Github contributions (5)
CornellNLP/CS4300_Flask_template
Mar 2017 - Apr 2018
Template for INFO/CS4300 project, using Flask.
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:48 commits, 1 PR, 44 pushes in 1 year 1 month
Contributions summary:Ilan focused on backend and infrastructure configurations, with an emphasis on setting up the application environment. Their contributions involved modifying the application's configuration, including the use of environment variables and database settings. They also made changes to the deployment setup using Vagrant and nginx, and updated the application startup configuration, likely to ensure it ran correctly in a production environment. Moreover, they edited the application's entry point and dependencies.
flaskpythontemplatejinja2
kserve/kserve
Jun 2020 - Aug 2020
Standardized Serverless ML Inference Platform on Kubernetes
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:23 reviews, 9 commits, 6 PRs in 2 months
Contributions summary:Ilan primarily focused on enhancing the readiness events for the InferenceService within the Kubernetes environment, adding logging and testing for service states. They also contributed to event recording within the Knative service reconciler. Furthermore, the user worked on fixing a lack of event patching in ClusterRole, integrating new RBAC permissions. These modifications suggest a focus on improving monitoring, observability, and overall stability of the KServe platform.
xgboostsklearnserverlessclient-goknative
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