Tahmeed Hossain

Tahmeed Hossain

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Software Engineer
Surrey, British Columbia, Canada

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Résumé


Jobs verified_user 0% verified
  • E
    Lead Automation Enginneer (AI Testing)
    Encorp
    Dec 2023 - Current (2 years 6 months)
    • Built an AI Computer Vision Model using YOLOv8 snapshot model using Flask, Pytorch and Ultralytics in Python • Created testing and performance metrics to build a model to predicts containers at 90%+ accuracy in 3 months • Configured automated pipelines for image capture, data annotation, filtration processes • Wrote system-level tests and ran validation testing on proof of concept release • Developed Product testing road map and built test suites with dedicated Nvidia/AMD GPUs • Deployed releases and Hotfixes related to critical bugs found in the system through Manual/Automated testing
  • g
    Intermediate Software Engineer in Test
    globalrelay
    Jan 2022 - Jan 2024 (2 years 1 month)
    • Built automated E2E tests and mock tests with WebdriverIO in Selenium in JavaScript • Setup Playwright end-to-end and component level testing project and wrote 300 tests • Built Page-Object-Models and Mock APIs to allow for testing new features and frontend components • Configured and wrote scripts to run JenkinsCI jobs to run end-to-end/component-level testing • Ran regression and smoke tests for deployment on product releases going out to over 100k users • Bug reporting and verification and triaging nightly automation runs in JenkinsCI
  • OneVest
    Software Engineer/QA
    OneVest
    Sep 2021 - Dec 2021 (4 months)
    • Moved Test reporting system on AWS, and created automated test runs with GitHub Actions • Designed a test reporting tool to generate Allure reports with greater test visibility and precise root cause analysis • Setup logging to display test reporting dashboards and generate alert systems for failed tests/runs/builds • Built API token to allow enterprises to set entitlements, permissions, and roles with GraphQL Queries and Mutations • Implemented whiteList IP address security feature that would enable enterprises to select specific users to make API calls.
  • A
    FullStack Engineer
    Alstar Brokerage Solutions
    Aug 2021 - Dec 2021 (5 months)
    • Completely redesigned and developed components for frontend in HTML, javascript, and BootstrapCSS • Built backend services for multiple features in C# and built different user access mode menus • Reduced the average number of clicks by ~50%, by creating frontend components for more intuitive navigation • Managed UI testing and deployment of MVP to over 20 different brokerages and reported defects • Wrote User-defined stored procedures (SQL Queries) and created/managed relational tables on MSSQL
  • O
    Backend Software Engineer/QA Intern
    OMMATY
    Jan 2021 - Sep 2021 (9 months)
    • Developing an IOS/Android Application using Flutter, NodeJS, and TypescriptJS • Built CRUD Services for offer features and parameter search functions from client to server-side REST APIs • Wrote test scripts and unit tests for data layer functions to meet project requirements using JEST • Implement backend functions of Offer Services by writing SQL Queries and creating entities in Typescript.js • Collaborated across cross-functional teams to deploy data pipelines in development and production
  • A
    Backend Developer/DevOps Engineer
    Agronome
    May 2020 - Aug 2020 (4 months)
    • Configured Docker compose (ports, images, volumes) to run containers (Postgres database, NodeJS backend ReactJS frontend) • Implemented elastic search by parsing CSV files and generated crop data based on specific user inputs • Built data pipelines and development environments using Docker containers and deployment using Digital Ocean droplets • Used Google Maps API to store farm location and area with 1-1 mapping and created all data storage functionality for the website
Education verified_user 0% verified
  • University of British Columbia
    B.Sc.
    University of British Columbia
    Sep 2016 - Apr 2021 (4 years 8 months)
Projects (professional or personal) verified_user 0% verified
  • R
    Research Medical Imaging Informatics Filtration
    • Analyzed different datasets using Scipy/Numpy and parsed data from CT scans, MRIs, and Mammograms to translate into ROI images and detect variations in pixel data • Automate data filtration processes and assessment of statistical modeling using Python scripts and Scikit-Image • Using OpenCV to process imaging and probe raw image data for enhanced analysis and visualization using Gaussian Filters
  • C
    Chatbot Natural Language Processing Model
    • Constructed a complex neural network using stochastic gradient descent and principal component analysis using Python libraries such as Tensorflow and TFlearn • Created custom tokenized datasets sorted by natural language processing patterns (nltk) stored into dictionary arrays and converted into NumPy arrays to train neural networks on user input patterns. • Tested and implemented different activation functions on neural networks such as sigmoid, SoftMax, and linear functions to optimize data accuracy by mapping response values • Implemented a UI to JavaScript chat window system give dynamic feedback and sent inputs/generated outputs
  • W
    Wall Street Data Scraper
    • Implemented various sorting algorithms to find the top three mentioned stocks in the largest trading forum using Python • Used Reddit and Yahoo Finance API to generate daily datasets to parse stock tickers, ticker values, volume trades, average price • A 10% increase in the top three stocks per day was found by the heapMax algorithm in O (n log n) • Designed Python scripts to create JSON files of daily data statistics and track trends over 24h, 7 day, and 30 day cycle
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