Tolga Dur
Member Of Technical Staff at AI Security Institute
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolTolga Dur is a backend-focused software engineer with 10 years of experience building scalable, production-grade systems across streaming, ML and infrastructure domains. Currently on the Flink autopilot team at Confluent and now at AI Security Institute, he’s delivered dynamic task manager allocation for Flink, managed thousands of Kubernetes clusters, and created custom Terraform/Kubernetes providers. He blends hands-on backend work (including parser and anonymizer contributions to the popular confluentinc/ksql project) with applied ML research—having led data poisoning and defence work submitted to ICML-level review. Tolga has startup and founder experience, having built RAG systems for enterprise workflows and led product and ML efforts at an early proptech company. He pairs Imperial College training with international study and a curious, research-minded approach that surfaces practical mitigations for high-risk ML deployments. Pragmatic and product-aware, he moves quickly from user interviews and funding strategy to deploying robust, auditable systems in production.
9 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Imperial College LondonBachelor of Science - BS Economics and Business Administration, Bachelor of Science - BS Economics and Business Administration at Goethe University FrankfurtAcademic Exchange, Academic Exchange at Keio University
German, Turkish, English, Japanese
Stackoverflow
1reputation
0reached
0answers
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Github Skills (11)
javas10
stream-processing10
parser10
parsing10
sql10
parse10
java10
ksqldb10
antlr9
configuration-management9
kafka8
Programming languages (5)
Github contributions (5)
confluentinc/ksql
Mar 2021 - Apr 2022
The database purpose-built for stream processing applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:41 reviews, 34 commits, 55 PRs in 1 year 2 months
Contributions summary:Tolga contributed primarily to the KSQL database's backend functionality, specifically focused on parser-related tasks and configuration. They added a script to export Antlr tokens for use in a frontend editor and refactored the grammar token exporter. The user also fixed an issue where `ksql.service.id` was being used as a query parameter and implemented a working query anonymizer. They also enhanced the functionality related to alter system queries.
materialized-viewsstream-processingstreaming-queriesksqldbsql
tolgadur/enigma-machine
Dec 2018 - Feb 2025
Contributions:25 pushes, 1 branch in 6 years 2 months
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