Mohammad Hadi
Senior Software Engineer - AI Research at Huawei Canada
Burnaby, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolMohammad Hadi is a Senior Software Engineer specializing in AI research with six years of experience building AI-driven solutions at the intersection of malware analysis, software engineering, and security. Currently at Huawei Canada, he develops and deploys LLM-based systems and purpose-built AI models for large-scale malware detection, optimizing models and infrastructure for novel AI hardware. He holds a top-ranked academic record—UBC graduate with highest distinction and a salutatorian BS from North South University—and has blended research and production work across embedded firmware, kernel-level C development, and LLMOps. Beyond technical contributions, he mentors underprivileged Bangladeshi students toward research careers and uses LLMs creatively to explore religious scriptures, reflecting a blend of rigorous engineering and intellectual curiosity.
6 years of coding experience
5 years of employment as a software developer
Higher Secondary School Certificate, Mathematics, Physics, Chemistry, Biology, 5.00/5.00, Higher Secondary School Certificate, Mathematics, Physics, Chemistry, Biology, 5.00/5.00 at Chittagong CollegeJunior School Certificate, Junior School Certificate at Silver Bells Kindergarten & Girl’s High SchoolBachelor of Science - BS, Computer Science, 3.99/4.00, Bachelor of Science - BS, Computer Science, 3.99/4.00 at North South UniversityMaster's, Computer Science, Master's, Computer Science at The University of British ColumbiaSecondary School Certificate (SSC), Mathematics, 5.00/5.00, Secondary School Certificate (SSC), Mathematics, 5.00/5.00 at Chittagong Collegiate School
English, Bangla, Arabic
Github Skills (11)
google-play-store8
distributions7
google-play7
scrape7
scraper6
anomaly-detection5
instagram5
build-system4
instagram-api4
nodejs4
python4
Programming languages (3)
Github contributions (5)
Mohammad-Abdul-Hadi/AOBTM-Adaptive-Online-Biterm-Topic-Modeling
Apr 2020 - Jul 2022
Input: <version-sliced-reviews>. To track the topic variations over versions, a novel method AOBTM is employed for generating version-sensitive topic distributions. The emerging topics are then identified based on the typical anomaly detection method.
Contributions:1 release, 23 commits, 1 PR in 2 years 3 months
distributionsanomalymethodanomaly-detectiontypical
Mohammad-Abdul-Hadi/google-play-store-review-scraper
Nov 2019 - Oct 2020
Scraper to extract application data(reviews only) from the Google Play store. Used Node.js Module: https://github.com/facundoolano/google-play-scraper
Contributions:25 commits, 2 PRs, 23 pushes in 10 months
scrapenode-jsgoogle-playscrapingnodejs
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