Jannik Kissinger is a Data Scientist focused on GenAI with 10 years of experience building production-ready AI systems that bridge research and business impact. Based in Heidelberg, he designs scalable multi-agent GenAI solutions leveraging LangChain/LlamaIndex, PyTorch and RAG-based semantic search to automate content summarization and information extraction with measurable efficiency gains of 25–80%. His background blends rigorous academic work on hyperparameter interpolation and multivariate interpolation with hands-on ML engineering—deploying LLMs in products and achieving high intent-classification performance. He regularly translates domain requirements into technical architectures, mentors junior engineers, and embeds automated evaluation and security checks into pipelines. Notably, he pairs algorithmic depth (interpolation and hyperparameter optimization) with pragmatic product instincts from startup to enterprise contexts.
10 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Madras
Master's degree, Computer Engineering, 1.6 (German scale), Master's degree, Computer Engineering, 1.6 (German scale) at Technische Universität Dresden
Early Studies, Business Informatics, Early Studies, Business Informatics at The Julius Maximilians University of Würzburg
Contributions:1 PR, 8 pushes, 1 branch in 2 years 3 months
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