Rishabh Shah Email & Phone Number
@amazon.com
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Who is Rishabh Shah? Overview
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Rishabh Shah is listed as Software Engineer and Technical Lead at Amazon, based in Seattle, Washington, United States. AeroLeads shows a work email signal at amazon.com and a matched LinkedIn profile for Rishabh Shah.
Rishabh Shah previously worked as SDE 2 at Amazon and Software Engineer at Amazon. Rishabh Shah holds Master Of Science - Ms, Data Science from University Of Washington.
Email format at Amazon
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AeroLeads found 1 current-domain work email signal for Rishabh Shah. Compare company email patterns before reaching out.
About Rishabh Shah
Feel free to reach me at shahrishabh95@gmail.com
Listed skills include Microsoft Office, Customer Service, Microsoft Excel, Management, and 60 others.
Rishabh Shah's current company
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Rishabh Shah work experience
A career timeline built from the work history available for this profile.
Sde 2
Software Engineer
Machine Learning Engineer
Machine Learning Intern
• Implemented a fast DBScan clustering algorithm by using caching to precompute distances using FAISS an efficient similarity search library. This enabled analysts to faster label fraudulent content and improved client retention.• Extracted customer data using PostgreSQL. Analyzed impact of clustering on those customers to validate fraud capture.• Built a prototype tool in React, Redux & Flask to surface clustering for demo purposes to customers and the sales team.• Used the prototype to gain buy in from senior leadership on the value of doing clustering. • Assisted in GDPR deletion by preserving a GDPR compliant dataset for data scientists to use.
Research Assistant
- Working on segmenting Caenorhabditis elegans to better predict genes that increase longevity of life using Keras and TensorFlow. - Building software that identifies death events of C. elegans based on time series images of their movements.- Generated segmented masks of worms based on annotated bounding boxes of C. elegans using image processing.
Software Engineer Intern
• Worked on Sift’s Machine Learning systems to help fight fraud by finding spam users in the digital trust and safety space.• Built an Apache Airflow DAG to schedule a weekly job to update data bases by importing data from updated data sources. Reduced time taken to complete the same tasks from 1 day to 2 hours by using batch updates and avoiding overheads.• Extracted distance between two different entities using concepts of flow programming in Java that improved ROC-AUC curves which resulted in better classification.• Built an image pipeline for faster experimentation using images and avoided unnecessary storage using Spark and AWS.• Used image and word embeddings from ResNet and BERT along with logistic regression and Xgboost to identify fraud users based on images resulting in improved classification for platforms heavily dependent on images using PyTorch and Scikit-Learn• Gained significant domain knowledge of the different types of fraud and spam faced by a wide range of users
Data Scientist
-Worked on deep learning algorithms in Caffe for semantic segmentation on histology images to expedite the drug discovery process for the largest drug manufacturing company in India(Sun Pharma Pvt. Ltd).-Re-purposed a deep neural network architecture called DeepLab v2 in Caffe for histology images leading to better results-Wrote a loss layer in Caffe using Python where in I implemented the forward and backward pass for dice loss in 2D images in Python which helped to improve the accuracy.-Derived the equations for the backpropagation algorithm through the loss layer.-Worked on ways to mitigate class imbalance which resulted in 30% faster training time of the models.-Made a python program using multi-threading that sped up stitching of multiple tiles into a single image by 66%.
Research Assistant
-Collaborated with two other faculty members on this project which aims to make navigation safer for the blind people.-Interviewed the visually impaired to gain an understanding of the problems faced by them.-Involved in the literature review, implementation and design of algorithms and proposal drafting.
Teaching Assistant
-Conducted lab sessions where in I delivered lectures to over 60 students at a time.-Designed problems aimed at testing student's understanding of the concepts taught in class.-Kept records of lab attendance for each student in Microsoft Excel.-Stored student lab submissions in proper file format and recorded individual grades in Microsoft Excel on a weekly basis.-Assisted students with various queries over email.
Computer Vision Intern
-Developed a deep learning based semantic segmentation approach for segmentation of products from backgrounds.-Extracted the dominant and disparate color for automatic color tagging of products using Python and OpenCV using background removal and histogram analysis.-Worked on Lab color space for automatic color tagging of products.-This module was later deployed by the company for their website.
Teaching Assistant
-Assisted students in performing lab experiments.-Graded exam papers.
Teaching Assistant
-Taught students planning to retake the exam for this course over the summer.-Coordinated with 2 other TA’s in organizing the curriculum and teaching different parts of the same.-Delivered lectures to over 10 students.-Over 90% of the students cleared the exam.
Colleagues at Amazon
Other employees you can reach at amazon.com. View company contacts →
Cara Hawk
Colleague at AmazonLake Stevens, Washington, United States
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DA
Demarcus Armstrong
Colleague at AmazonDallas, Texas, United States
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JA
Jeremiah Azubuike
Colleague at AmazonFlorissant, Missouri, United States
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НС
Николай Слободянюк
Colleague at AmazonKyiv, Kyiv City, Ukraine
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JD
Jdrifter Drifto
Colleague at AmazonBologna, Emilia-Romagna, Italy
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HS
Heri Santosa
Colleague at AmazonBandung, West Java, Indonesia
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RM
Raz Mrutyu
Colleague at AmazonBhubaneswar, Odisha, India
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VK
Vinay Kumar
Colleague at AmazonGoa, India
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IP
Iain Pound
Colleague at AmazonEdinburgh, Scotland, United Kingdom
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AA
Ali Assassin
Colleague at AmazonNew York, United States
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Rishabh Shah education
Master Of Science - Ms, Data Science
Bachelor Of Technology (B.Tech.), Information And Communication Technology
Frequently asked questions about Rishabh Shah
Quick answers generated from the profile data available on this page.
What company does Rishabh Shah work for?
Rishabh Shah works for Amazon.
What is Rishabh Shah's role at Amazon?
Rishabh Shah is listed as Software Engineer and Technical Lead at Amazon.
What is Rishabh Shah's email address?
AeroLeads has found 1 work email signal at @amazon.com for Rishabh Shah at Amazon.
Where is Rishabh Shah based?
Rishabh Shah is based in Seattle, Washington, United States while working with Amazon.
What companies has Rishabh Shah worked for?
Rishabh Shah has worked for Amazon, Sift, University Of Washington, Aira Matrix, and Ahmedabad University.
Who are Rishabh Shah's colleagues at Amazon?
Rishabh Shah's colleagues at Amazon include Cara Hawk, Demarcus Armstrong, Jeremiah Azubuike, Николай Слободянюк, and Jdrifter Drifto.
How can I contact Rishabh Shah?
You can use AeroLeads to view verified contact signals for Rishabh Shah at Amazon, including work email, phone, and LinkedIn data when available.
What schools did Rishabh Shah attend?
Rishabh Shah holds Master Of Science - Ms, Data Science from University Of Washington.
What skills is Rishabh Shah known for?
Rishabh Shah is listed with skills including Microsoft Office, Customer Service, Microsoft Excel, Management, Microsoft Word, Powerpoint, English, and Java.
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