Aniket Agarwal
Machine Learning Engineer at Gatik
Mountain View, California, United States
Summary
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Senior🎓
Top SchoolAniket 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.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology RoorkeeMaster's degree, Robotics, Master's degree, Robotics at Carnegie Mellon University
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (65)
chat10
convolutional-neural-networks10
summaries10
google-play10
javascript9
zulip9
android-application9
web-application9
python9
websocket9
collaboration9
react-native9
apache9
electron9
socket-io9
Programming languages (7)
Github contributions (5)
arnab39/Semi-supervised-segmentation-cycleGAN
May 2019 - Dec 2019
Contributions:37 commits, 5 pushes, 4 comments in 7 months
aniket-agarwal1999/aniket-agarwal1999.github.io
Aug 2021 - Feb 2025
Contributions:25 pushes in 3 years 5 months
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