Experience

IBM Canada Software Lab - Toronto
• Canada
• Software Development
• 100 - 200 Employee
• Network Stack Software Developer

  • Jul 2022 - Present


Dalhousie University

• Canada
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Apr 2020 - Nov 2021

  Worked under the supervision of Dr. Israat Haque• Fields: Software Defined Networking, Edge Computing, Internet of Things• Developed a system for image classification on edge networking devices• Programmed the data plane to perform the image classification using P4, implemented on the BMv2 software switch• Incorporated both Machine Learning and Deep Learning using scikit-learn, Keras and Tensorflow

• Teaching Assistant

  • Sep 2020 - Jan 2021

  Conducted tutorial classes.• Prepared course material.• Graded examinations.• Tools used: Wireshark, NMAP and Python



Bangladesh University of Business and Technology (BUBT)

• Bangladesh
• Education Administration Programs
• 100 - 200 Employee

• Lecturer

  • Feb 2018 - Dec 2019

  Taught a number of courses, including practical lab sessions – Operating Systems – Networking – Machine Learning • Worked as an organizer for international conferences hosted by the university • Supervised undergraduate students on their final theses and projects Taught a number of courses, including practical lab sessions – Operating Systems – Networking – Machine Learning • Worked as an organizer for international conferences hosted by the university • Supervised undergraduate students on their final theses and projects



Samsung R&D Institute Bangladesh

• Bangladesh
• Software Development
• 1 - 100 Employee

• Intern

  • Dec 2016 - Feb 2017

  Worked with the Solutions Development Team • Created an object detection-based geolocation system. The system captures images and extracts features from them using the SURF algorithm, compares to a database, and then triangulates the location for a prototype robot. The robot prototype design was based on an Arduino microcontroller, communicating with an image capturing device. Worked with the Solutions Development Team • Created an object detection-based geolocation system. The system captures images and extracts features from them using the SURF algorithm, compares to a database, and then triangulates the location for a prototype robot. The robot prototype design was based on an Arduino microcontroller, communicating with an image capturing device.