Enes Akar
CEO at Upstash
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEnes Akar is a CEO and seasoned technology leader with 13 years of experience building distributed systems, serverless and edge/cloud-native platforms, and in-memory data solutions. As CEO of Upstash and former co-founder, VP of Engineering and CTO of Hazelcast Cloud, he blends entrepreneurial leadership with hands-on engineering—contributing core back-end work to the widely used open-source Hazelcast real-time data platform. His commits influenced data-loading and write-behind logic by touching core classes like MapContainer.java and DefaultRecordStore.java, underscoring deep expertise in data-in-motion systems. He also served as an engineering leader at Confluent, scaling teams and cloud services. Based in Palo Alto and holding a BS in Computer Engineering plus an MBA from Boğaziçi University, he pairs product-minded strategy with pragmatic, low-level implementation experience.
13 years of coding experience
13 years of employment as a software developer
Boğaziçi Üniversitesi
Stackoverflow
3,123reputation
239kreached
46answers
24questions
Github Skills (18)
hadoop-mapreduce10
mapster10
distributed-systems10
mapreduce10
java10
javas10
distributed-system10
mapr10
data-structure9
concurrency9
data-structures9
hazelcast6
in-memory-database6
distributed-cache6
distributed-computing6
Programming languages (14)
Github contributions (5)
hazelcast/hazelcast
Mar 2012 - Feb 2017
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:880 commits, 59 PRs, 75 pushes in 4 years 11 months
Contributions summary:Enes focused on implementing core features related to loading and handling data for the Hazelcast unified real-time data platform. The contributions involved modifying core classes such as `MapContainer.java` and `DefaultRecordStore.java` with the implementation of methods like `loadAll`, and the integration of write-behind methods. The user's work impacted the core logic of data management within the Hazelcast ecosystem, specifically by modifying how data is loaded from underlying storage and managed within the system.
computationstream-processingbigtablereal-timestreaming-data
upstash/kafka-examples
Dec 2021 - Apr 2022
Sample applications implemented with Serverless Kafka
Contributions:1 review, 17 commits, 4 PRs in 4 months
kafkaserverlessconnectorupstash
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.