Kaan Dönmez - IT Consultant

Berlin, Germany

Experience

Jan 2025 - Present

7 months

IT Consultant

Tensora GmbH

Jan 2024 - Oct 2024

10 months

Cybersecurity LLM Engineer

Cyberfame

Automated Content Generation System ("NISI"): Developed an AI-powered system automating customer journey, sales, and company image creation. Created AI-generated articles from customer interviews using LangChain, LangGraph, OpenAI API, leading to 54 new user sign-ups, facilitating customer feedback and product discovery. Related Skills: Python, Git, CI/CD, Docker, Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, OpenSource Development, Google Cloud, ChatGPT (all models).
Business Value Estimation Tool: Developed a tool to analyze repositories and assign business value, aiding in risk prioritization and management. The Tool consist of different AI tools combined in a Graph. Related Skills: Python, Git, CI/CD, RESTful API, Docker, Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, Cybersecurity, OpenSource Development, Google Cloud, ChatGPT (all models).
Automated Risk Mitigation: Implemented automated risk mitigation using AI tools, eliminating several risks in the company’s product. Related Skills: Python, Git, Docker, CI/CD, Machine Learning, LLM, LangChain, LangGraph, LangSmith, OpenAI, Neo4j, Cybersecurity, OpenSource Development, ChatGPT (all models).
Optimized AI Workflows: Integrated AI tools and optimized for cost efficiency, deploying solutions on Google Cloud Run.
CodeReviewandQuality Assurance: Reviewed pull requests and refactored code, improving quality and maintainability.
TeamTraining and Leadership: Conducted training sessions on AI tools and workflows, promoting continuous learning.

Nov 2022 - Jul 2023

9 months

Machine Learning Researcher/Developer

Siemens Energy

Developed aMLmodelusingPyTorch andPyTorch Geometric to automate high-voltage conductor configurations, reducing configuration time by up to 30 hours per instance. (Project: AI-based Prediction of Complex Product System Topologies)
Achieved 96% accuracy in link prediction for domain-specific knowledge graphs. (Project: AI-based Prediction of Complex Product System Topologies)
Collaborated with cross-functional teams for data collection and domain understanding.
Skills related to "AI-based Prediction of Complex Product System Topologies": Python, Git, LaTex, Jupyter Notebook, Machine Learning, PyTorch, TensorFlow, Numpy, Scikt-learn.

Nov 2020 - Nov 2022

2 years 1 month

Software Engineer

Siemens Energy

Developed a Python-based monitoring system for Windows servers and services. Related Skills: Python, RESTful API, CI/CD.
Implemented a C# software adapter to expand system functionality. Related Skills: C#.
Advanced automated testing systems, increasing software quality. Related Skills: Git, Python, CI/CD, C#.
Executed a migration tool using Python and Azure REST API to transfer data from Polarion to Azure DevOps. Related Skills: Python, RESTful API.
Implemented a Framework for automated Tasks, User Management and Process-Monitoring. Related Skills: C#.

Cybersecurity LLM Engineer

Planned and Implemented a system that aims to implement a bidirectional mapping between chat dialogues and the knowledge graph as RAG.
This Project has the ability to extract and integrate conversational data into a dynamic graph structure in both directions, providing an efficient user experience in managing cybersecurity data and dialogues.
Related Skills: Python, Git, Docker, Machine Learning, LLM, LangChain, OpenAI, Numpy, Cybersecurity, Neo4j, OpenSource Development, Google Cloud, ChatGPT (all models).

DevOps

Designed and developed a highly scalable and modular web service using Azure and Terraform, enabling seamless expansion and enterprise-level deployment.
Architected the infrastructure and system architecture, ensuring a secure, reliable, and efficient structure suitable for selling as a multi-tenant enterprise solution.
Built a full-stack booking system, including frontend, backend, API integrations, database management, and secure server deployment.
Implemented automated infrastructure provisioning with Terraform, optimizing deployment, scalability, and maintainability.
Ensured high security standards, including authentication, encryption, and compliance with best practices for cloud-based applications.
Related Skills: Azure, Terraform, LLM, OpenAI, Python, Docker, RESTful API, Git, CI/CD.

Researcher

Autonomos Labs

Developed and Trained a state-of-the-Art Computer Vision model for Taillight recognition in PyTorch.
Related Skills: Python, Jupyter Notebook, LaTex, Machine Learning, PyTorch, TensorFlow, Numpy, Scikt-learn, Computer Vision.

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, Natural Language Processing, MLOps
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