Summary
Harsh Shah is a Machine Learning Engineer based in Stuttgart with 8 years of experience building data-driven solutions spanning NLP, computer vision, predictive modelling and backend software development. With an M.Sc. in Computer Science (Intelligence & Data) from Paderborn University and research experience at Heinz Nixdorf Institut, he has improved model performance in production-style projects (e.g., boosting NLP classifiers by 4% and snippet-generation accuracy by 9%). He combines hands-on engineering—Android and Java backend work early in his career—with modern transformer fine-tuning, AutoML and deep learning pipelines to deliver end-to-end systems. Comfortable moving between data acquisition, feature engineering, model development and database integration, he focuses on turning messy, real-world data into actionable insights. Notably, his master’s thesis applied a PageRank-inspired extractive summarization approach that outperformed prior methods, reflecting a research-driven pragmatism.
8 years of coding experience
2 years of employment as a software developer
Master of Science in Computer Science, Computer Science (Informatik), Master of Science in Computer Science, Computer Science (Informatik) at Paderborn University
Higher Education/Higher Education Administration, Higher Education/Higher Education Administration at C.N Vidhyalaya
Bachelor of Technology (B. Tech), Computer Engineering, 7.86 CGPA, Bachelor of Technology (B. Tech), Computer Engineering, 7.86 CGPA at Indus University
German, English, Hindi