Kaan (Timucin) Dönmez
IT Consultant
Experience
Jan 2025 - Present
7 monthsIT Consultant
Tensora GmbH
Jan 2024 - Oct 2024
10 monthsCybersecurity LLM Engineer
Cyberfame
- Automated content generation system ("NISI"): developed an AI-powered system to automate the customer journey, sales and corporate branding. Created AI-generated articles from customer interviews using LangChain, LangGraph, OpenAI API, which led to 54 new user sign-ups and facilitated customer feedback and product discovery. Technologies used: Python, Git, CI/CD, Docker, Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, OpenSource Development, Google Cloud, ChatGPT.
- Business value estimation tool: developed a tool to analyze repositories and assign business values, supporting prioritization and risk management. The tool consists of different AI tools combined in a graph. Technologies used: Python, Git, CI/CD, RESTful API, Docker, Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, Cybersecurity, OpenSource Development, Google Cloud, ChatGPT.
- Automated risk mitigation: implemented automated risk mitigation using AI tools, eliminating several risks in the company's product. Technologies used: Python, Git, Docker, CI/CD, Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, Neo4j, Cybersecurity, OpenSource Development, ChatGPT.
- RAG, Graph-to-Chat/Chat-to-Graph system: designed and implemented a system that enables bidirectional mapping between chat dialogues and the knowledge graph as RAG. This project can extract and integrate conversational data in both directions into a dynamic graph structure, providing an efficient user experience for managing cybersecurity data and dialogues. Technologies used: Python, Git, Docker, Machine Learning, LLM, LangChain, OpenAI, Numpy, Cybersecurity, Neo4j, OpenSource Development, Google Cloud, ChatGPT.
- Optimized AI workflows: integrated AI tools and optimized cost efficiency, deploying solutions on Google Cloud Run.
- Code review and quality assurance: reviewed pull requests and refactored code to improve quality and maintainability.
- Team training and leadership: conducted training sessions on AI tools and workflows, promoting continuous learning.
Nov 2022 - Jul 2023
9 monthsMachine Learning Researcher/Developer
Siemens Energy
- Developed an ML model with PyTorch and PyTorch Geometric to automate high-voltage configuration processes, reducing configuration time by up to 30 hours per instance.
- Achieved 96% accuracy in link prediction for domain-specific knowledge graphs.
- Collaborated with cross-functional teams for data collection and domain understanding.
- Technologies used: Python, Git, LaTex, Jupyter Notebook, Machine Learning, PyTorch, TensorFlow, Numpy, Scikit-learn.
May 2021 - Sep 2021
5 monthsResearcher
Autonomos Labs
- Bachelor's thesis "Brake Light Detection on Video Data".
- Developed and trained a state-of-the-art computer vision model for brake light detection in PyTorch and ROS for autonomous driving applications.
- Technologies used: Python, Jupyter Notebook, LaTex, Machine Learning, PyTorch, TensorFlow, Numpy, Scikit-learn, Computer Vision.
Nov 2020 - Nov 2022
2 years 1 monthSoftware Engineer
Siemens Energy
- Migration tool from Polarion to Azure DevOps: developed a migration tool to transfer data of epics, stories, sprints, etc. from Polarion to Azure DevOps using Python and Azure REST API. Technologies used: Python, RESTful API.
- Automated testing systems: developed advanced automated test systems for functional and smoke tests to increase software quality. Technologies used: Git, Python, CI/CD, C#.
- Monitoring system: developed a Python-based monitoring system for Windows servers, Windows services, and other interfaces (between applications). Technologies used: Python, RESTful API, CI/CD.
- Software adapter: designed and implemented a software adapter in C# to extend system functionality. Technologies used: C#.
- Automated tasks: implemented a framework for automated tasks, user management, and process monitoring. Technologies used: C#.
DevOps
- Scalable Enterprise Web Service Development – Azure & Terraform.
- Designed and developed a highly scalable and modular web service with Azure and Terraform, enabling seamless expansion and enterprise-wide deployment.
- Infrastructure and system architecture design, ensuring a secure, reliable, and efficient structure that can be sold as a multi-tenant enterprise solution.
- Built a full booking system, including frontend, backend, API integrations, database management, and secure server deployment.
- Implemented automated infrastructure deployment with Terraform, optimizing deployment, scalability, and maintainability.
- Ensured high security standards, including authentication, encryption, and best practices compliance for cloud-based applications.
- Technologies used: Azure, Terraform, LLM, OpenAI, Python, Docker, RESTful API, Git, CI/CD.
Summary
- Areas of Expertise: Python, Machine Learning, AI, Large Language Models, Data Science, Software Development, C#, Assembler, C, Java, Javascript, UIPath, Haskell, Typescript, React, Terraform, Azure, Cloud, Kafka, SAP, Databricks, ChatGPT, Anthropic
- Programming: Python, Git, C#, LaTex, CI/CD, Docker, Jupyter Notebook, Godot, RESTful API, UI Path, Kafka, Databricks
- AI: Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, PyTorch, TensorFlow, Numpy, Scikt-learn, Computer Vision, ChatGPT (all models)
- IT: Neo4j, Cybersecurity, OpenSource Development
- Cloud: LangGraph Cloud, PostgreSQL, Google Cloud, Azure, Terraform
Languages
Arabic
AdvancedGerman
AdvancedEnglish
AdvancedTurkish
Advanced Education
Sep 2021 - Sep 2023
Freie Universität Berlin
Master's degree · Computer Science · Berlin, Germany
Sep 2018 - Sep 2021
Freie Universität Berlin
Bachelor's degree · Computer Science · Berlin, Germany
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