Artificial Intelligence Researcher at University Hospital Schleswig-Holstein (UKSH)
Dresden, Saxony, Germany
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Summary
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Harshit Juneja is an artificial intelligence researcher and seasoned technologist with a decade of experience building ML-driven products across healthcare and financial services. He has led teams and initiatives from frontend migrations and cloud-based SaaS chatbots at Fidelity and FIL Fondsbank to state-of-the-art medical imaging research at Otto-von-Guericke University and UKSH, where he now builds liver cancer risk stratification models. Comfortable toggling between research and production, he has delivered measurable business impact—reducing support calls by 35% and saving €120k annually through automation—while publishing and deploying neural-network solutions that match contrast-enhanced MRI performance. A community builder who grew a 16,500+ developer network at Meta and teaches via his Impractical Dev channel, he blends practical engineering with a taste for strategic, high-impact problems. Known for leading by example and experimenting fast, he prefers adventure and results over safe, incremental work. Based in Dresden, he brings a rare mix of product-first pragmatism, deep learning expertise, and cross-cultural collaboration.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Data and Knowledge Engineering (Machine Learning and Recommendation Systems), Master of Science - MS Data and Knowledge Engineering (Machine Learning and Recommendation Systems) at Otto-von-Guericke University Magdeburg
Engineer's Degree Computer Science and Engineering, Engineer's Degree Computer Science and Engineering at The NorthCap University
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Harshit Juneja - Artificial Intelligence Researcher at University Hospital Schleswig-Holstein (UKSH)