Summary
Danish Khan is a Senior Developer and computer engineer with five years of hands-on experience building product-grade web and mobile solutions, currently pursuing a master's in Computer Science in Germany. He combines research credentials—published work on Web 3.0 and disease prediction—with practical delivery, having engineered FlutterFlow-based health-tech features used by 3,000+ monthly users and integrated AI-driven plugins like SkinScreener. His background spans data science at NPCI analyzing 55M daily UPI transactions, LLM training and prompt engineering, and no-code/low-code product launches that drove measurable engagement and revenue uplifts. A repeat founder and entrepreneurial operator, he has launched e-commerce platforms and led cross-functional teams to scale products quickly. Danish is drawn to emerging tech—blockchain, generative AI, AR/VR—and often pairs rapid experimentation (“just hit and try”) with data-driven rigor. Based in Kaiserslautern, he’s actively developing a SaaS product with an online collaborator and seeks connections that turn bold ideas into shipped software.
5 years of coding experience
2 years of employment as a software developer
Higher Secondary School, Science, Higher Secondary School, Science at Chandrabhan Sharma College of Arts, Commerce and Science
Master's degree, Computer Science, Master's degree, Computer Science at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
Secondary School, School, Secondary School, School at Little Flower English High School
Bachelor’s Degree, Computer Engineering, 9.34 GPA, Bachelor’s Degree, Computer Engineering, 9.34 GPA at University of Mumbai
English, Hindi, Urdu, Marathi, Arabic, German