Ayush Singh
Software Engineer at Meta
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolAyush Singh is a software engineer specializing in machine learning, computer vision, and scalable backend systems, with roughly a decade of industry experience and a CS master's from USC. He has shipped production ML pipelines at Zillow (generating comps for 100M+ homes) and rebuilt core search infrastructure at eBay to dramatically cut development time while improving observability and reliability. His work spans end-to-end model research and deployment—publishing a spatial ensemble approach for satellite imagery and deploying Kubeflow/AWS workflows in production. At IIITD he led a real-time lane detection system that doubled throughput and improved accuracy for autonomous driving on Indian roads, showing a knack for practical, performance-focused engineering. A frequent community speaker and PyData core member, Ayush combines academic rigor with developer tooling and operational excellence, and he actively champions GenAI adoption and agentic debugging to reduce production incidents.
10 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Southern CaliforniaHigh School/Secondary Diplomas and Certificates, High School/Secondary Diplomas and Certificates at Delhi Public School Vasant KunjBachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Guru Gobind Singh Indraprastha University
Hindi, English
Stackoverflow
65reputation
2kreached
3answers
0questions
Github Skills (66)
python10
youtube-api10
deep-learning10
medical-imaging10
random-forest10
image-analysis10
computer-vision10
transfer-learning10
tensorflow10
visualization10
vggnet10
kalman-filter9
youtube9
machine-learning9
data-science9
Programming languages (6)
Github contributions (5)
ayush1997/visualize_ML
Jul 2016 - Sep 2016
Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets.
Contributions:2 releases, 41 commits, 4 pushes in 2 months
data-analysispythonvisualizationmachine-learningstatisics
ayush1997/YouTube-Like-predictor
Jan 2017 - Mar 2019
YouTube Like Count Predictions using Machine Learning
Contributions:19 commits, 5 pushes in 2 years 2 months
machine-learningyoutubepredictive-analysisyoutube-apirandom-forest
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