Navneet Chauhan

I am a machine learning engineer with strong expertise in computer vision and generative AI, focused on building production-quality camera features for mobile devices. At Samsung R&D I collaborated with ML and camera algorithm teams to integrate Autoframing and Ultra HDR features on flagship Galaxy models and launched a Selfietone lighting enhancement for low-light selfies.

I improved SDK stability and quality by refining unit test coverage from 65% to 80% using JUnit and Mockito, boosted SAM quality scores by up to 20%, and worked closely with cross-functional and SQA teams to ship features used by millions on major third-party apps. My projects include state-of-the-art image inpainting with Vision-Mamba, Swin Transformer–based colorization with VQ-VAE, and ResNet+LSTMCell image captioning.

I hold an M.Tech in Computer Science from IIIT Hyderabad and bring practical experience across C++, Java, Android, Python, and PyTorch, with a strong foundation in algorithms, model design, and CI/CD tooling to deliver robust ML solutions for real-world products.