Ridhima Garg is a senior AI engineer with nine years of experience applying AI to NLP, computer vision, and data science across industry and research settings. She currently leads advanced AI initiatives at Flick Gocke Schaumburg, building scalable LLM frameworks, optimizing performance with PEFT, and advancing prompt engineering and retrieval-augmented generation. Her background spans developing custom LLM tooling at IAV, automating insurance claims workflows at Quantiphi, and accelerating image analysis and ML deployment on Azure Kubernetes at ZEISS, with a strong emphasis on production-ready ML pipelines. She is an active open-source contributor to Voicenet, working on voice analytics like gender and emotion detection, and has tackled OCR-based Captcha recognition. Based in Stuttgart, Germany, she blends a solid CS foundation with hands-on delivery and a knack for turning research ideas into data-driven, storytelling solutions.
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