Utkarsh Deshmukh is a Machine Learning Engineer with a decade of hands-on experience specializing in computer vision, currently building production ML at Meta after recent roles optimizing inference and training pipelines. His background spans automotive perception at Rivian, watermark detection and low-shot recognition systems at Digimarc, and practical model optimization techniques such as quantization and TensorRT conversion at Ambient.ai. He combines research-grade algorithm design (including matched-filter watermark detection and strategies to train with a single image) with production-focused engineering to deliver robust, low-false-positive solutions. Based in Sunnyvale, he maintains an active GitHub where he showcases experimental CV projects and pragmatic tooling that bridge research prototypes to scalable deployments.
10 years of coding experience
11 years of employment as a software developer
Master’s Degree Electrical and Electronics Engineering (Focus Area Computer Vision), Master’s Degree Electrical and Electronics Engineering (Focus Area Computer Vision) at Rochester Institute of Technology
Bharatiya vidya bhavan
Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering, Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering at Savitribai Phule Pune University
Contributions:1 review, 21 pushes, 1 branch in 4 years 3 months
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Utkarsh Deshmukh - Machine Learning Engineer at Meta