I’m Nirmal Antony, an AI and Data Science graduate from Heinrich Heine University Düsseldorf with hands-on research experience building real-world LLM- and vision-focused machine learning systems. I enjoy taking ideas from research-level experiments into end-to-end pipelines, especially where strong evaluation and reproducibility matter—whether that’s generative image-to-image translation under adverse weather or transformer-based NLP work.
I’ve worked across computer vision and NLP, fine-tuning transformer models and integrating multimodal guidance to improve semantic consistency and measurable outcomes. I’m now looking to apply these research-level AI skills in a product-focused engineering environment, building practical, trustworthy AI applications backed by solid experimentation and quantitative evaluation.
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