Tamzid Rahman (Oronno)
Tamzid Rahman (Oronno)
Email : tamzid.oronno@gmail.com
Phone : +880-1670258671
About Me
Hello! I’m Tamzid Rahman (Oronno). Software Engineer from Bangladesh, with 5+ years of experience. I mainly write code in Javascript with a proven track record on Python, Java, and PHP. A leader with strong managerial skills. Craving to take on new challenges.
Seeking RA-funded CS graduate programs for Fall 2024.
My Interests
Software Engineering
Machine Learning
Blockchain
Human Computer Interaction
Hobbies
Playing Guitar
Hiking
Graphic Design
Solo Travelling
Resume
Experience
August 2021 - Present
Sr. Software Engineer
Cefalo
May 2020 - July 2021
Software Engineer
MazeGeek Technologies BD Ltd.
June 2018 - April 2020
Software Engineer
Romoni Services Ltd.
April 2017-December 2017
Operator
FabLab KUET
Education
2014 - 2018
Khulna University of Engineering & Technology
BSc. in CSE
2011 - 2013
Dhaka Residential Model College
Higher Secondary Certificate (HSC)
2001 - 2011
St. Gregory's High School
Secondary School Certificate (SSC)
Skills
Backend:
Node.js, Php, Python, Java, TypeScript, Javascript, C++, PostgreSQL, MySQL, MongoDB, Redis
Frontend:
Angular, Vue.js, Nuxt.js, jquery, Bootstrap, Tailwind, HTML, CSS
DevOps:
Docker, Jest, CI/CD, Scrum, Agile, Git
ML:
Scikit Learn, Tensorflow, Numpy, Pandas,
Projects
Blog
October 29, 2023 My GRE Journey of 2 months

Being a full-time software engineer, preparing for GRE seemed a tedious job for me. However, I prepared for two months straight and scored …

Publications
  • Detecting AI-Generated Assignments in Educational Evaluation: A Transformer-Based Approach (Under Review)


    Procceeding for 6th International Conference on Electrical Engineering and Information & Communication Technology 2024
    A transformer-based model to identify if an assignment is AI-generated or Human-written where DistilBERT transformer model provides the best accuracy of 92% to detect AI-generated assignments. The paper is under review for

Projects
  • Design and Implementation of Smart Aided Spectacle (Undergraduate Thesis):

    A wearable device designed for visually impaired people to detect object and determine surface smoothness on the way.