Experience

Industry

  • July 2024 – Present

    Bevy Commerce

    Software Engineer

    Data & platform focus

    Ontario, Canada (Remote)

    • Built a data migration pipeline from Magento to Shopify using Express.js, GraphQL, and REST APIs
    • Implemented rate-limiting with Bottleneck to comply with Shopify API constraints at scale
    • Developed custom WordPress and React integrations for The Free Press news platform
    • Designed robust error-handling and logging for production data synchronization
    Node.jsExpress.jsMongoDBGraphQLShopifyWordPressReact

  • Dec 2023 – Jun 2024

    BreakByte

    Software Engineer

    Chittagong, Bangladesh

    • Built 120Hertz, a multi-tenant blogging platform with JWT and RBAC authentication
    • Designed MongoDB schemas for proper tenant data isolation
    • Deployed and managed services on AWS EC2 with NGINX and PM2
    Node.jsExpress.jsMongoDBJWTAWS EC2NGINX

Academia

  • Feb 2026 – Present

    International Islamic University Chittagong (IIUC)

    Adjunct Lecturer, Department of Computer Science and Engineering

    Chittagong, Bangladesh · Computer Science & Engineering

    • Developed a course content website for teaching, with dedicated material for each of the courses taught Visit the site
    • You can check feedback from students and faculties on the website yasir-explains.vercel.app

    Courses taught · Spring 2026

    CodeCourse
    CSE-2421Computer Algorithms
    CSE-2422Computer Algorithms Lab
    CSE-2430Competitive Programming II
    CSE-3527Compiler
    CSE-3528Compiler Lab

Research

  • 2026 – Present

    Attack Scenarios in Cross-Chain Blockchain Interactions

    Ongoing Research, CUET

    Supervised by Dr. Rahma Bintey Mufiz Mukta

    • Conducting a comprehensive survey and taxonomy of security vulnerabilities and attack patterns in cross-chain communication protocols (manuscript under preparation).
    Blockchain SecurityCross-chain ProtocolsSurvey & Taxonomy

  • 2023 – Present

    Predictive Model for Birth Delivery Mode

    Research Assistant (Freelance)

    Supporting Dr. Rubana Hoque Chowdhury's PhD research

    • View my work for this research on GitHub: github.com/ChyYasir/Predictive-Model-for-Birth-Delivery-Mode
    • Worked as a research assistant to Dr. Rubana Hoque Chowdhury on her PhD research in an iterative loop: reviewing the supplied literature, implementing the proposed methods in code, then jointly experimenting on and refining the resulting models.
    • Achieved 99% accuracy for cesarean vs. vaginal delivery prediction and 94% accuracy for spontaneous vs. induced delivery classification, using machine learning and geometric feature extraction on Electrohysterogram (EHG) signals.
    • Re-implemented and validated methods from prior published EHG studies, and built the analysis and figures behind two of her publications and her annual PhD committee reviews.
    • Supplied experimental evidence throughout her PhD journey, from proposal defence through dissertation submission and final defence, and continue the collaboration on her post-PhD research (2026 to present).
    PythonScikit-learnMachine LearningEHG Signals

  • 2024 – 2025

    Bengali Keyword Extraction from Bengali Blogs (Transformer-Based Approach)

    Undergraduate Thesis Research, CUET

    Supervised by Dr. Muhammad Ibrahim Khan

    • Built a comprehensive Bengali blog dataset of 9,012 annotated posts.
    • Proposed a transformer-based dual-encoder architecture, achieving an 84% F1@10 score.
    • Ran a comparison analysis against existing keyword-extraction methods to benchmark the proposed approach.
    PythonPyTorchTransformersNLP

Publications

publishedQ1 Journal

Analysis of electrohysterogram signals for predicting obstetric outcome using machine learning methods: a scoping review

Rubana Hoque Chowdhury, Yasir Rahman, et al.

BMC Pregnancy and Childbirth, Springer Nature · 2026

I have been working with Dr. Rubana Hoque Chowdhury since 2023, and this publication is a direct result of that collaboration. My work throughout, including signal processing, method re-implementation, and analysis, is available on GitHub at github.com/ChyYasir/Predictive-Model-for-Birth-Delivery-Mode.

Machine LearningEHG SignalsObstetrics
DOI ↗Code on GitHub ↗