Bhushan Gawde is an AI Engineer with nine years of experience building production-grade deep learning systems across computer vision, speech recognition, and LLM-driven NLP, currently driving Voice AI and RAG-based initiatives at SAP. He has a strong track record shipping features used by millions—contributing to Samsung’s flagship camera portrait and bokeh solutions and optimizing real-time image pipelines in C++ and ARM Neon intrinsics. Technically fluent in PyTorch, OpenCV, Hugging Face, LangChain, Docker/Kubernetes and FastAPI, he blends research-led model development (ViT, MobileNet, Whisper fine-tuning, VAE/GANs) with end-to-end deployment on cloud platforms. His work spans low-level performance tuning and high-level system architecture, and he’s comfortable mentoring teams and handling production incidents at scale. With an MS from TU Munich and hands-on experience across device, backend, and cloud stacks, he uniquely bridges academic rigor and practical engineering.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Technical University of Munich
Bachelor of Technology (BTech), Computer Engineering, Bachelor of Technology (BTech), Computer Engineering at Veermata Jijabai Technological Institute (VJTI)
Contributions:2 PRs, 385 pushes, 2 branches in 2 years 2 months
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