Backend Engineer II
Mar 2026 — Present
DataRobot · Munich, Germany
Backend Engineer
Apr 2025 — Feb 2026
- Contributed to DataRobot's LLM Gateway, improving core functionality, designing its Redis caching layer, and adding integrations with multiple LLM providers.
- Helped build DataRobot's Agentic Workflow Platform from the ground up, developing the foundational Python library used across agentic framework integrations.
- Built adapters and templates for LangGraph, CrewAI, LlamaIndex, and NVIDIA NeMo Agent Toolkit, with unified tracing and AG-UI event handling across frameworks.
- Developed and shipped production backend services and APIs using Python and FastAPI.
Software & Machine Learning Engineer
May 2024 — Apr 2025
Quasara GmbH · Munich, Germany
- Designed and maintained RAG-based chatbots on open-source LLMs (LLaMA, DeepSeek), integrated with a Qdrant knowledge base.
- Built a scalable vectorization pipeline using zero-shot multimodal models to process large-scale image datasets from S3 into Qdrant — 5× faster processing at reduced cost.
- Improved small-object recognition speed 2× at a 3% accuracy trade-off and 3× at 5%, using multimodal VLMs and computer vision techniques.
- Built and maintained a FastAPI backend, collaborating with client engineering teams on integration.
- Deployed scalable solutions on Google Compute Engine and AWS EC2.
Master Thesis Student
May 2023 — Nov 2023
CARIAD, a subsidiary of Volkswagen · Ingolstadt, Germany
- Developed a novel self-supervised approach to 3D LiDAR semantic segmentation, using Neural Radiance Fields to extract volumetric features from image data.
- Distilled 2D image features into the 3D domain, allowing LiDAR segmentation models to train on geometrically aware features without labeled data.
- Demonstrated the potential of self-supervised techniques to overcome the limits of densely labeled 3D datasets.
Software & ML Engineer, Working Student
Dec 2022 — May 2023
Quasara GmbH · Munich, Germany
- Led end-to-end development of a damage classification project using state-of-the-art transformer models, reaching over 93% accuracy.
- Implemented advanced cleaning and augmentation techniques to work around imperfect labeled data.
- Supported client communication with regular updates and detailed presentations of project outcomes.
Natural Language Processing Intern
Jul 2020 — Oct 2020
FineSci Technology · Istanbul, Turkey
- Applied state-of-the-art transformer language models to classify and cluster Turkish news.
- Reached over 96% classification accuracy, improving the efficiency and accuracy of categorization.
Undergraduate Teaching Assistant
Feb 2019 — Feb 2020
Sabanci University · Istanbul, Turkey
- Independently managed lab sessions for 20–30 students and mentored during office hours.
- Taught C++ as the primary language in the Introduction to Computing course.