Jay Chakalasiya
Software Engineer - Machine Learning at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJay Chakalasiya is a machine learning software engineer blending research, product, and engineering to deliver data-driven AI solutions at scale. Currently at Google as a Software Engineer - Machine Learning, he builds production ML systems, drawing on eight years of experience across startups and academia. His background spans NLP, computer vision, searching/ranking, data visualization, and distributed systems, with hands-on experience in PyTorch, TensorFlow, PySpark, Python, C++, and SQL. Notably, at Trestle Labs he architected a CNN+LSTM OCR system achieving 92% accuracy and digitized thousands of pages for accessibility. His education includes MS degrees from the University of Washington (Technology Innovation) and Tsinghua University (Data Science), and a BTech from Nirma University. Based in Mountain View, he seeks roles at data-driven companies where technology, design, and business converge to create scalable, impact-first products.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Technology Innovation, 3.95/4.0, Master of Science - MS, Technology Innovation, 3.95/4.0 at University of WashingtonBachelor of Technology - BTech, Computer Science, 8.6/10, Bachelor of Technology - BTech, Computer Science, 8.6/10 at Nirma UniversitySpecialization in Information Security, Computer Science, 8.6/10, Specialization in Information Security, Computer Science, 8.6/10 at Nirma University, Ahmedabad, Gujarat, IndiaMaster of Science and Engineering, Data Science, 4/4, Master of Science and Engineering, Data Science, 4/4 at Tsinghua University
English, Hindi, Gujarati
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (32)
cv-template9
fasterrcnn9
weighted9
resume9
jekyll9
efficientnet8
jekyll-theme8
mobilenet8
fusion8
predict7
ensemble-learning7
re-identification7
computer-vision7
object-detection6
datasets6
Programming languages (4)
Github contributions (5)
jay-chakalasiya/jay-chakalasiya.github.io
Jun 2017 - Nov 2020
http://jay-chakalasiya.github.io
Contributions:117 pushes, 2 branches in 3 years 5 months
jay
jay-chakalasiya/Global-Wheat-Detction-Kaggle-2020
May 2020 - Jul 2020
For the Kaggle Competition on object detection with same name. 1) models used are DETR, EfficientDet, YOLOv5, RetinaNet, FasterRCNN. 2) Ensemble inference using Weighted Box Fusion 3) Pseudo Learning to deal with smaller labeled datasets. 4) Mixup as an augmentation technique
Contributions:55 commits, 2 PRs, 36 pushes in 1 month
kagglefasterrcnndealretinanetensemble
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