Insiyah Hajoori
Software Engineer 2 at Booking.com
The Hague, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolInsiyah Hajoori is a Software Engineer with 8 years of experience building cloud-native products and client software, most recently contributing to Amazon WorkSpaces Thin Client and currently at Booking.com. She has a strong background in integrating ML into production applications—she implemented TensorFlow.js model support for the widely used caMicroscope digital pathology viewer during her Google Summer of Code work and later mentored GSoC projects. Her early internships at Adobe and Avalara evolved into full-time engineering roles, demonstrating a blend of product-focused engineering and cross-team collaboration. Comfortable across JavaScript, Python, and cloud platforms, she navigates both frontend integrations and backend services to deliver end-to-end features. Based in The Hague, she pairs technical curiosity with mentorship experience and a track record of shipping practical ML-enabled tooling for real-world users.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Bachelor of Technology - BTech at National Institute of Technology Surat
Hindi, Urdu, Gujarati, Arabic, English, Dutch
Github Skills (8)
tensorflowjs10
image-segmentation10
javascript10
segmentation10
imaging9
slide9
image-scanning9
openseadragon8
Programming languages (9)
Github contributions (5)
camicroscope/caMicroscope
May 2019 - Aug 2019
Digital pathology image viewer with support for human/machine generated annotations and markups.
Role in this project:
ML Engineer
ML EngineerContributions:4 reviews, 15 commits, 5 PRs in 3 months
Contributions summary:Insiyah implemented support for uploading and running machine-learning models within the digital pathology image viewer. They added functionalities to handle model selection, image pre-processing, and prediction execution using TensorFlow. The primary focus was on integrating and utilizing machine learning models for image segmentation, allowing users to draw regions of interest and get model-based predictions. The code changes demonstrate the integration of TensorFlow.js within the existing caMicroscope framework to utilize pre-trained machine learning models.
digital-pathologyimage-viewerwhole-slide-imagingcamicroscopeslide-images
Insiyaa/Stalk-em-Know-em
Jan 2018 - Jun 2018
Contributions:25 commits, 18 pushes, 1 branch in 4 months
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