Alykhan Tejani
Senior Staff Machine Learning Engineer at Paddington Robotics
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAlykhan Tejani is a Senior Staff Machine Learning Engineer with 11 years of experience building and productionising large-scale deep learning systems across startups and big tech. He has led recommender and ranking efforts at ShareChat and Twitter, scaling distributed training and inference for millions of users while improving engagement through multi-modal embeddings and dynamic user modeling. His research roots from Imperial College (ECCV/CVPR papers, patents pending) inform pragmatic engineering choices, and he has contributed tests and transforms to flagship PyTorch projects such as torchvision and ignite. Based in London, he blends hands-on model engineering with team leadership, and is notable for bringing research-grade computer vision insights into production recommender pipelines.
11 years of coding experience
13 years of employment as a software developer
Master of Philosophy (MPhil), Computer Vision, Master of Philosophy (MPhil), Computer Vision at Imperial College London
hindi - begginer level
Stackoverflow
16,015reputation
2.3mreached
58answers
207questions
Github Skills (20)
unit-testing10
pytorch10
python10
image-processing10
testing10
machine-learning10
neural-network10
transform10
computer-vision10
test-automation10
deeplearning-ai9
deep-learning9
documentation8
boost6
swing6
Programming languages (10)
Github contributions (5)
pytorch/ignite
Nov 2017 - Jun 2018
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:55 commits, 146 PRs, 381 pushes in 7 months
Contributions summary:Alykhan's contributions primarily involve creating and modifying unit tests for the `pytorch/ignite` library. Their work includes adding test cases for various functionalities, such as the `Trainer` class and its event handling mechanisms. The user appears to have focused on ensuring the correct behavior and functionality of the training components within the Ignite framework, contributing to overall code quality.
pytorchpythondeep-learninghigh-levelneural-networks
pytorch/vision
Jan 2017 - Jan 2018
Datasets, Transforms and Models specific to Computer Vision
Role in this project:ML Engineer
ML EngineerContributions:1 release, 46 commits, 67 PRs in 11 months
Contributions summary:Alykhan primarily contributed to the computer vision aspects of the repository. Their commits focused on enhancing and testing the `torchvision.transforms` module. Specifically, they added new transforms like `RandomVerticalFlip`, `FiveCrop`, and `TenCrop`, deprecated `Scale` in favor of `Resize`, and improved the documentation and tests for existing transforms, including `Pad`, `Normalize`, and `RandomResizedCrop`. They also addressed issues related to image handling and data transformations.
pytorchvisiondeep-learningdatasetcomputer-vision
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.