Maryam Daneshi

Staff Software Engineer at Facebook

Redwood City, California, United States
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Summary

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Maryam Daneshi is a Staff Software Engineer based in Redwood City with five years of professional experience building large-scale systems at Facebook after earlier engineering roles at Snapchat and Highfive. Her background blends academic research in video streaming and personalization from Stanford and University of Victoria with hands-on production engineering, reflecting deep expertise in media delivery, ABR streaming, and scalable platform work. At Facebook she progressed from Senior to Staff Engineer, demonstrating impact in high-throughput, user-facing systems. Maryam’s early research and internships show a long-standing focus on QoE and adaptive streaming testbeds, an uncommon thread that informs her production decisions today.
code5 years of coding experience
job11 years of employment as a software developer
bookM.Sc., Computer Science, M.Sc., Computer Science at University of Victoria
bookMaster of Science (MS), Electrical Engineering, Master of Science (MS), Electrical Engineering at Stanford University
bookB.Sc., Computer Engineering, B.Sc., Computer Engineering at Sharif University of Technology
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Github Skills (4)

nlp10
datasets10
machine-learning9
deep-learning9

Programming languages (1)

Python

Github contributions (2)

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maryamdaneshi/ParlAI

Sep 2020 - Sep 2020

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Contributions:3 pushes in 1 day
nlpfairness-mldeep-learningdatasetmachine-learning
facebookresearch/ParlAI

Sep 2020 - May 2022

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Contributions:1 review, 4 commits, 7 PRs in 1 year 8 months
nlpdeep-learningdatasetmachine-learningtraining
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Maryam Daneshi - Staff Software Engineer at Facebook