Ankur Kunder
Senior Member Of Technical Staff at Oracle
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAnkur Kunder is a Senior Member of Technical Staff and software engineer with a decade of experience building backend services, cloud storage components, and ML tooling across companies like Oracle and Grammarly. He combines a strong academic grounding (MS Computer Science, Texas A&M; B.Tech, IIT Guwahati) with hands-on R&D experience from Samsung and research labs, shipping features from TV screen-share products to object-detection pipelines. Ankur has contributed to the popular AutoKeras AutoML project—adding image regression tutorials, object detection, Transformers and a pre-trained BERT import—demonstrating a bridge between production systems and cutting-edge ML research. Based in Redmond, he focuses on scalable, reproducible solutions for data pipelines and cloud infrastructure, and often gravitates toward practical ML engineering problems that link research prototypes to production-ready services.
10 years of coding experience
6 years of employment as a software developer
B. Tech. Electronics and Communication Engineering, B. Tech. Electronics and Communication Engineering at Indian Institute of Technology, GuwahatiMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Texas A&M University
English, Hindi
Github Skills (9)
keras10
machine-learning10
deeplearning-ai10
deep-learning10
tensorflow10
automl10
python10
computer-vision9
neural-architecture-search8
Programming languages (3)
Github contributions (5)
keras-team/autokeras
May 2020 - Apr 2021
AutoML library for deep learning
Role in this project:
ML Engineer
ML EngineerContributions:3 reviews, 176 commits, 12 PRs in 11 months
Contributions summary:Ankur's contributions primarily involve adding and modifying code related to image regression within the AutoKeras library. They added a tutorial for image regression, which includes code examples and instructions. The commits demonstrate the use of AutoKeras for training and evaluating image regression models using the IMDB-WIKI dataset. Additionally, the user introduced object detection capabilities within the library.
pytorchpythondeep-learningautomated-machine-learningneural-architecture-search
achaar/autokeras
May 2020 - Apr 2021
An AutoML system based on Keras
Contributions:248 pushes, 9 branches in 11 months
pythondeep-learningmachine-learningautomltensorflow
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