Aniket Agarwal

Machine Learning Engineer at Gatik

Mountain View, California, United States
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Summary

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Aniket Agarwal is a Machine Learning Engineer with eight years of experience building multimodal perception and scalable ML systems, currently working on robotics and autonomy at Gatik after an MS in Robotics at Carnegie Mellon. He led real-time, edge-efficient deployments—quantizing LLMs/TTS and running ROS inference on NVIDIA Jetson Orin—for DARPA Triage, and developed a transformer-based Modality Unifier that cut MPJPE by up to 14% for 3D pose estimation under degraded sensing. Previously at Microsoft he improved Outlook Learning-to-Rank by 10% and reduced inference latency through feature-driven dimensionality reduction and pipeline automation. His background in Applied Mathematics from IIT Roorkee complements deep expertise in PyTorch and model optimization for constrained hardware. Notably, he has produced benchmarks and tooling for long-form video and long-tailed visual relationship tasks, revealing concrete performance gaps that guided new research directions. He blends research rigor with product-focused engineering to deliver real-world ML solutions in safety-critical and high-scale environments.
code9 years of coding experience
job4 years of employment as a software developer
bookIndian Institute of Technology Roorkee
bookMaster's degree Robotics, Master's degree Robotics at Carnegie Mellon University
languagesEnglish, Hindi
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Github Skills (45)

convolutional-neural-networks10
summaries10
react-native9
javascript9
python9
segmentation9
android-app9
slack9
zulip9
chat9
collaboration9
deep-learning8
anaconda8
apache8
open-source8

Programming languages (7)

JavaCSSCHTMLJupyter NotebookPythonKotlin

Github contributions (5)

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Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation
Contributions:37 commits, 5 pushes, 4 comments in 7 months
pytorchsegmentation
Contributions:26 pushes in 4 years 10 months
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