Nahian Rifaat

Software Engineer & AI Researcher

Specializing in Full-Stack Development, Machine Learning, and Computer Vision with a passion for creating innovative solutions that make a difference.

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About Me

I'm a Software Engineer and AI Researcher currently pursuing my M.Sc in Computer Science at Ontario Tech University. With over 4 years of experience in software development and research, I've led teams, published research papers, and built impactful solutions.

My expertise spans full-stack web development with Ruby on Rails, machine learning with TensorFlow and RASA, and deploying scalable applications using Docker, AWS, and Nginx. I'm passionate about leveraging AI and computer vision to solve real-world problems.

IELTS Score: 8.0 (L: 9.0, R: 7.5, W: 7.0, S: 7.5)

Ruby on Rails
Python & TensorFlow
JavaScript & Node.js
Docker & AWS
Machine Learning
Computer Vision
MySQL & MongoDB
RESTful APIs

Experience

Teaching Assistant

Ontario Tech University
May 2025 – Present / September 2025 – Present
  • CSCI1040U: Introduction to Programming for Science
  • INFR3120U: Web and Script Programming
  • INFR3550U: HCI for Games

Graduate Research Assistant

Ontario Tech University
May 2025 – Present
  • Conducting Human-Computer Interaction, Computer Vision, and Game Development AI research in Automated Bug Detection

Software Engineer

Nascenia Ltd., Dhaka, Bangladesh
Jan 2025 – Apr 2025
  • Led the development of an NBR-enlisted VAT Management Software with Ruby on Rails, MySQL, jQuery, Docker, and Nginx

Technical Team Facilitator

Nascenia Ltd., Dhaka, Bangladesh
Jan 2024 - Apr 2025
  • Managed and trained new engineers for effective resource allocation as a Technical Team Facilitator
  • Developed various features for an NBR-enlisted VAT Management Software

Junior Software Engineer

Nascenia Ltd., Dhaka, Bangladesh
Dec 2022 - Dec 2024
  • Developed a Bengali AI chatbot with RASA and LLMs
  • Implemented a survey project using machine learning

AI Research Assistant

MyMedicalHUB Bangladesh Ltd., Dhaka, Bangladesh
Oct 2020 - Oct 2022
  • Conducted research to determine potential risk factors of musculoskeletal pain for gait analysis, golf swing analysis, and integrative biomechanical analysis projects using computer vision
  • Deployed machine learning solutions using Django, AWS S3, Apache HTTP Server
  • Performed API validation using Postman
  • Reduced video processing efficiency by 30% and documented research findings for patenting

Undergraduate Researcher

Machine Learning Research Group, RUET
Feb 2021 - Oct 2022
  • Conducted research on gait recognition using machine learning with IMU sensor data from smartphones
  • Researched lung cancer biomarker detection and prediction
  • Published research articles in peer-reviewed journals

Education

M.Sc in Computer Science

Ontario Tech University
May 2025 - Apr 2027

Currently pursuing advanced studies in Computer Science with focus on AI and Machine Learning.

B.Sc. Engg. in Computer Science & Engineering

Rajshahi University of Engineering & Technology
Jan 2017 - Oct 2022

CGPA: 3.38/4.00 (84.5%)

Awarded Excellence by the Department of Computer Science and Engineering

Projects

MediNotes

Jan 2023
  • Electronic Medical Record Application built with Ruby on Rails, SQLite, HTML5, and CSS3
  • Implemented authentication, authorization, medicine tracking, and admin panel
  • Deployed using Nginx, AWS, and Capistrano

LandHSI

Apr 2022 - Present
  • Developed neural network architecture for land mass classification in satellite images
  • Used TensorFlow and OpenCV with high evaluation metrics
  • Enhanced remote sensing capabilities for satellite imaging

DisMo - Air Mouse for Handicapped

Jul 2019 - Oct 2022
  • Designed wireless wearable head mouse for handicapped individuals
  • Integrated Arduino, IMU sensors, and voice recognition module
  • Developed wireless dongle with Bluetooth for mouse control

SightSeer

Dec 2018 - Apr 2019
  • Web application for tourist accommodation reviews using MERN stack
  • Implemented search engine with regex for hotels and resorts
  • Developed REST API with authentication and user dashboards
  • Added reviews, comments, and admin-controlled profile management

Publications

Rifaat, N., Ghosh, U. K., & Sayeed, A (2022). Accurate gait recognition with inertial sensors using a new FCN-BiLSTM Architecture. Computers and Electrical Engineering, Volume 104, 108428.

CiteScore: 9.2

Ghosh, U. K., Al Abir, F., Rifaat, N., Shovan, S. M., Sayeed, A., & Hasan, M. A. M. (2021). Most dominant metabolomic biomarkers identification for lung cancer. Informatics in Medicine Unlocked, 100824.

CiteScore: 9.5

Get In Touch

I'm currently open to new opportunities and collaborations. Feel free to reach out!

Email
nahian.rifaat@gmail.com
Phone
get phone number by emailing me
Location
Oshawa, ON, Canada