Summary
Mahendra Singh is an AI Engineering Consultant with 9 years of experience building production-ready ML systems, specializing in multimodal deep learning, open-set recognition, and scalable data pipelines. He holds an M.Sc. in Artificial Intelligence from FAU Erlangen and has delivered solutions across manufacturing, insurance, and healthcare, including a multimodal defect-detection system and a document-parsing pipeline that processed over 1 TB across 300+ AWS nodes. His research on synthetic OOD generation using GANs for open-set recognition improved classifier robustness and introduced novel losses and joint training techniques now validated on benchmarks. At Sumyag he industrialized end-to-end document extraction and feature-enrichment pipelines, contributing patents for configurable ML frameworks and diverse model integration. Comfortable bridging research and deployment, he combines hands-on engineering with a knack for resourceful, pragmatic solutions and cross-domain information extraction. Outside work he’s a home chef and anime fan—bringing the same curiosity and persistence to code and character arcs.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Science & Engineering, Bachelor of Engineering (B.E.) Computer Science & Engineering at Sir M Visvesvaraya Institute Of Technology
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at FAU Erlangen-Nürnberg
Kendriya Vidyalaya Sangathan
English, Hindi, German