Summary
Nihit Save is a Senior Machine Learning Engineer based in California with 9 years of experience specializing in computer vision and on-device inference for embedded platforms like Qualcomm Snapdragon, Nvidia Jetson TX2 and Intel MyriadX. He designs end-to-end deep learning pipelines and squeezes latency out of production systems by optimizing models and writing efficient OpenCL/C++ and CUDA kernels for ML accelerators. His work spans foundation models, detection, segmentation, tracking, pose and depth estimation, and he has shipped solutions that cut costs and boosted inference throughput in real-world deployments. Comfortable across Python, C++, PyTorch and TensorFlow, Nihit pairs research-grade model work with pragmatic systems engineering to make vision models run reliably at the edge. A practical problem-solver, heβs been known to climb onto car roofs to collect training data and enjoys bringing creative, hardware-aware optimizations to production ML.
9 years of coding experience
5 years of employment as a software developer
Master of Science Business Analytics (Machine Learning Track), Master of Science Business Analytics (Machine Learning Track) at The University of Texas at Dallas
Bachelor of Engineering (BE) Electronics Engineering, Bachelor of Engineering (BE) Electronics Engineering at University of Mumbai