Aman Arya
Software Development Engineer II at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolAman Arya is a Software Development Engineer II with 10 years of experience building large-scale ML systems that translate data into measurable business impact. At Amazon Search he architected end-to-end pipelines and RL models that enabled experiments yielding over $100M in revenue and led infrastructure overhauls that cut processing times by 87% while saving millions annually. He combines hands-on ML engineering (TensorFlow, PyTorch, ONNX) and data-platform work (PySpark, AWS Graviton) with pragmatic monitoring and cost-optimization practices. Aman also mentors engineers and runs operational-excellence initiatives that produced recurring savings and tighter production reliability. His open-source contributions include medical imaging workflows for the prominent dipy library, reflecting an ability to apply ML and signal-processing expertise across domains. He’s particularly interested in large-scale reinforcement learning, RAGs in search, and multi-agent systems to bridge ML research and product-scale outcomes.
10 years of coding experience
1 year of employment as a software developer
Bachelor’s Degree, Applied Mathematics, Bachelor’s Degree, Applied Mathematics at University of WashingtonMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of TechnologyHigh School, High School at American High School
English, Hindi, Spanish, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
image-reconstruction10
medical-imaging10
diffusion-mri10
recovery10
python10
3d-reconstruction10
machine-learning9
neuroimaging8
tractography8
Programming languages (5)
Github contributions (5)
dipy/dipy
Oct 2017 - Feb 2018
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 commits, 11 PRs, 30 comments in 4 months
Contributions summary:Aman primarily contributed to the `dipy/dipy` repository by implementing and modifying workflows related to the reconstruction of diffusion MRI data, specifically focusing on the MAPMRI model. They added and edited code within the `reconst.py` file. The changes involved adapting existing workflows and saving the MAPMRI outputs, with an emphasis on the correct parameters. Additionally, the user added a test file related to mapmri workflows.
signalpythonmicrostructurespatialtractography
Jasonyou1995/Lantern_v2
Apr 2017 - Sep 2017
Contributions:8 commits, 6 PRs, 6 pushes in 4 months
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