Summary
Chintan Zaveri is a Deep Learning Engineer based in Berlin with a decade of software engineering experience and over five years focused on machine learning and computer vision. He builds and productionizes scalable inference pipelines, having moved models from research prototypes to deployed systems at companies like Oxolo and Smart Steel Technologies. His background blends academic research and teaching at the University of Bonn with hands-on product work—designing data preprocessing pipelines for multilingual geolocation tasks at Deutsche Post and leading backend teams earlier in his career. Comfortable across the stack, he combines low-level algorithmic experience (3D geometry, octrees, CAD tooling) with practical ML engineering for fast, reliable deployments. He’s pragmatic about performance and scalability, often translating research prototypes into efficient inference services. This mix of research pedigree and production focus makes him effective at bridging novel CV research and real-world engineering constraints.
10 years of coding experience
3 years of employment as a software developer
High School, 9.6 CGPA, High School, 9.6 CGPA at Delhi public school vadodara
Master's degree, Computer Science, Master's degree, Computer Science at The University of Bonn
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at The Maharaja Sayajirao University of Baroda
English, Hindi, German, Gujarati