Computer Science Graduate
CGPA 3.86, thesis on crop-disease detection with CNNs. I learn fast, document everything and love hackathons.
- CGPA 3.86 / 4.00
- 2× national hackathon winner
- Open-source contributor
Computer Science Graduate
Fresh CSE graduate from RUET passionate about machine learning and open source. Looking for junior engineering roles.
Computer Science Graduate
CGPA 3.86, thesis on crop-disease detection with CNNs. I learn fast, document everything and love hackathons.
Rajshahi University of Engineering & Technology
Thesis: Detecting rice leaf diseases with lightweight CNNs.
Android app identifying 8 rice leaf diseases offline — 94% accuracy.
Open-source timetable planner used by 1,200+ students.
Beyond coursework:
Organized 6 workshops with 300+ participants.
Mentored 15 school students in Python basics.
“Ayesha's LeafScan work was among the strongest undergraduate projects I've supervised.”
Prof. Dr. Shahnaz Parvin
Thesis Supervisor · RUET
“Reliable, organized, and always shipping.”
Rakib Hasan
Club President · RUET Computer Club
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