Professional Overview
Machine Learning Engineer focused on unsupervised ASR and AI, with hands-on experience building zero resource ASR systems and ML pipelines. Combines research and engineering experience from RWTH, working with Wav2Vec-based models, CTC training, and GAN approaches. Interested in developing scalable speech systems for real-world environments.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.