Meysam Feghhi
Staff Software Engineer at Shopify
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolMeysam Feghhi is a Staff Software Engineer with 11 years of experience building reliable, high-performance systems across AWS, fintech, and proptech domains. He has led large rearchitectures—most notably integrating Yuhu with Yardi and overhauling payments and leasing systems—to deliver order-of-magnitude improvements in portal loading speed and memory efficiency. At AWS and Shopify he focused on operational reliability and complex system optimization, and at Jun Group he built an Elixir-based tracking service that ingested over 100 million events in months. An active Elixir contributor, he improved exq with atomic batch enqueueing using Lua scripts, reflecting a knack for pragmatic, low-level reliability fixes. He also builds ambitious side projects like Aligno (project management) and Guessgoals (bitcoin-based betting), blending product sensibility with systems-level engineering. Based in Toronto, he pairs a Master’s in Computer Science with hands-on leadership in cloud-native architectures and high-throughput services.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of AlbertaBachelor’s Degree Computer Software Engineering, Bachelor’s Degree Computer Software Engineering at University of Tehran
Stackoverflow
945reputation
88kreached
15answers
18questions
Github Skills (15)
job-queue10
redis10
elixir10
lua9
api8
apidoc8
testing7
drag-and-drop6
html6
rails-api6
frontend6
directory-structure6
backend6
ruby-on-rails6
angularjs6
Programming languages (3)
Github contributions (5)
akira/exq
Jan 2023 - Jan 2023
Job processing library for Elixir - compatible with Resque / Sidekiq
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 6 commits, 1 PR in 3 days
Contributions summary:Meysam primarily focused on enhancing the `exq` Elixir library, specifically targeting improvements to the enqueueing of jobs in a Redis environment. Their work involved the implementation of an `enqueue_all` function for atomic batch job enqueuing, leveraging Lua scripts for atomicity and efficiency. They also refined the enqueueing logic by using SADD and LPUSH commands for jobs without delayed scheduling. Furthermore, they added tests, documentation and addressed feedback to improve the code's reliability and usability.
redisresqueelixirjob-queuesidekiq
meysius/docs
Mar 2020 - Sep 2022
Meysam's Public Documents
Contributions:85 commits, 112 pushes, 1 branch in 2 years 6 months
pdf
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