Arka Talukdar
Machine Learning Engineer at DoorDash
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolArka Talukdar is a Machine Learning Engineer with a decade of experience building recommendation and feature engineering systems for major consumer platforms. He holds an MS in Computer Science from NYU and has driven short-video personalization at TikTok, resilient representation modeling for ads at Meta, and LLM- and graph-based feature discovery in modern recommendation stacks. Now at DoorDash, he focuses on production ML that scales across datacenters—experience that includes setting up distributed training and serving for live video. His background spans software engineering at Microsoft and Samsung to academic teaching roles, reflecting both deep engineering chops and strong pedagogy. A former KVPY and NTSE scholar, he brings rigorous problem-solving and an eye for applying research ideas to real-world social media and e-commerce use cases. Notably, he combines large-scale systems thinking with hands-on work in LLM-enabled feature engineering and graph learning for recommendations.
9 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster's degree Computer Science, Master's degree Computer Science at New York University
Hindi, Bengali, English
Github Skills (13)
mining3
data-science2
glove2
data-analysis2
python-data2
pandas2
python2
data-mining2
keras2
machine-learning1
deep-learning1
tensorflow1
arabic-nlp1
Programming languages (3)
Github contributions (5)
artalukd/Data_Mining_Lab
Jan 2018 - Apr 2018
Contributions:11 commits, 2 PRs, 15 pushes in 2 months
data-analysispythondataminingdata-science
atalukdar/atalukdar.github.io
Sep 2017 - Feb 2018
Contributions:29 pushes, 1 branch in 5 months
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