Ayush Agarwal's Location
San Ramon, California, United States, United States
Ayush Agarwal's Contact Details
Ayush Agarwal work email
- Valid
- Valid
Ayush Agarwal personal email
n/a
About Ayush Agarwal
Ayush Agarwal is a Senior Machine Learning Engineer at Meta. He is proficient in French.
Ayush Agarwal's Current Company Details
Meta
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Senior Machine Learning Engineer
United States
- Website:
- metadownhole.com
- Employees:
- 136862
Ayush Agarwal Work Experience Details
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Senior Machine Learning EngineerMetaUnited States
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Software Engineer InternFacebook Jun 2021 - Aug 2021Menlo Park, California, United States-Built endpoints using GraphQL and WhatsApp chat infrastructure in erlang and Hack/PHP to retrieve metadata about products, catalogs, and shops in the new catalogs for WhatsApp business platform.-Leveraged a static graph image transcoding API to generate collages of image metadata, added cacheing and persistence to BLOB storage, and profiled/optimized server-side latency and memory overhead.-Worked with iOS/Android/web client teams to use the new endpoints for WhatsApp Commerce message type previews, which will lead to higher click rates and affect over 100 million messages sent per day by businesses. -
Software Engineer InternFacebook Ai Jun 2020 - Sep 2020Seattle, Washington, United States-Performed adversarial image-based black-box attacks on Facebook's multimodal production models that identify misinformation that reduced model recall by over 30%-Trained new multimodal models to match images uploaded to the platform everyday to banks of known hoax images that improved recall on adversarial data by over 15%-Worked on AI Red Team within the AI Integrity Organization with the mission of attacking Facebook's Production machine learning systems to proactively identify and remove vulnerabilities and biases.
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Full Stack EngineerRoadata Sep 2018 - Feb 2020-Deployed video processing algorithms and computer vision pipeline to Google Cloud that accurately detects and measures road distresses from street view video by training temporal object detection and tracking frameworks-Designed and helped build a visualization web dashboard where all recorded video and imagery can be geo-located and viewed using Mapbox, along with model predictions and summary reporting
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Full Stack Engineer And Machine Learning InternK-Motion Nov 2018 - Sep 2019San Francisco Bay Area-Designed a novel computer vision pipeline to accurately measure body angles during rapid movements (e.g. golf swings, physiotherapy exercises) by modifying the architecture of state-of-the-art 3D pose estimation neural networks taking into account the temporal aspect of videos-Deployed pipeline on iOS device using CoreML software toolkit to operate in almost real-time-Added features to the frontend KGO mobile app and KCloud web app using React Native and React-Added to K-Motion’s backend ASP.NET Web API storing and retrieving data from SQL servers, Blob Storage, Queues, etc. through Azure cloud services -
Simons Research Fellow Computer VisionStony Brook University Jun 2017 - Apr 2019-Accepted for 2019 CVPR Oral (premier computer vision conference internationally)-Developed unsupervised deep learning model (GAN architecture) to synthesize pathology images with ground truth and train high performance models to perform cancer nuclei segmentation, lymphocyte detection, glioma classification, etc.-Highest accuracy on 2015-2017 MICCAI Pathology Challenge for Nuclei Segmentation without any labeled data-Regeneron Science Talent Scholar for exemplary research ($4000 cash prize) -
Mit-Primes ResearcherMit Jan 2017 - Dec 2017One of the Top 17 Applicants Nationwide for the Rigorous MIT-PRIMES math research programUsed graduate-level combinatorics and representation-theory to understand the restriction of critical groups and their relation to combinatorial structures called differential posets-Research published in conference proceedings and presented at the Formal Power Series and Algebraic Combinatorics Conference (FPSAC) in Dartmouth University-Presented research at the MAA Undergraduate Poster Session in San Diego and MIT-PRIMES conference at MIT-Pre-print published on ArXiv and on MIT-PRIMES
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Ross Math ProgramThe Ohio State University Jun 2016 - Jul 2016One of the Top 60 students internationally who participated in this rigorous proof-based number theory and abstract algebra immersion that built from the ring axioms to current open problems in mathematics. I also attended several graduate-level lectures on Fourier Series, Topography, etc.
Ayush Agarwal Education Details
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Mathematics And Computer Science
Frequently Asked Questions about Ayush Agarwal
What company does Ayush Agarwal work for?
Ayush Agarwal works for Meta
What is Ayush Agarwal's role at the current company?
Ayush Agarwal's current role is Senior Machine Learning Engineer.
What is Ayush Agarwal's email address?
Ayush Agarwal's email address is aa****@****est.com
What schools did Ayush Agarwal attend?
Ayush Agarwal attended Stanford University.
Who are Ayush Agarwal's colleagues?
Ayush Agarwal's colleagues are Ava Tajida, Priyal Shah, Yoyo Pang, Darby Blaney, Mathew Jeter, Ja Z, María Cortez.
Not the Ayush Agarwal you were looking for?
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Ayush Agarwal
San Francisco Bay Area5squareup.com, gmail.com, gmail.com, brocade.com, square.com3 +140843XXXXX
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Ayush Agarwal
Senior Product Analyst At Jpmorgan Chase | Solving Problems Using Data | Georgia Tech - Ms Analytics | Data / Business Analyst | Sql | PythonNew York, Ny2gatech.edu, gmail.com -
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