About
Engineer by training, researcher by curiosity.

- Born
- 30 / 11 / 1998 · Jamalpur, Bangladesh
- Nationality
- Bangladeshi
- Based in
- Nanjing, Jiangsu, China
I am a detail-oriented researcher specializing in computer vision, with a strong focus on medical imaging, digital healthcare, and cancer research. I hold a Master's degree in Transportation Engineering, which gives me a unique perspective — combining analytical thinking from engineering with advanced deep learning techniques to solve complex problems in healthcare. As a beginner researcher, I am passionate about working on high-impact projects that connect technology with real-world medical applications.
My academic path took me from Information Technology at Sharda University in India to Transportation Engineering at Hohai University in China — a seemingly indirect route that, in fact, shaped my approach. Engineering taught me to think in systems and tolerances; computer vision lets me apply that discipline to images that matter — a tumour scan, a fractured road, an ECG waveform.
Today I split my time between two labs: building road-damage segmentation models at Hohai with Prof. Xu Peng, and researching sleep apnea detection with ResearchBuddy AI in Dhaka. The thread connecting them is explainability — because a model nobody can interrogate is a model nobody should deploy.
Schooling
Education
M.Sc. in Transportation Engineering
Hohai University · Nanjing, China
B.Sc. in Information Technology
Sharda University · Greater Noida, India
Competencies
Skills & Tools
Languages
ML / DL
Vision
Data
Web
Tools
Spoken & Written
Languages
Mother tongue
Bengali
Proficient
English
- ListeningC1
- ReadingC1
- WritingC1
- SpeakingC1
Basic
Chinese
- ListeningA2
- ReadingA2
- WritingA1
- SpeakingA2
Courses
Continued Learning
- Complete Python Programming
- Machine Learning & Image Processing
- Elements of AI
- AI in Digital Marketing
- Python, Django, React & AI
- AI Engineering Bootcamp
- Data Science & Machine Learning with Python
- Winter Interview Preparation (8 weeks)