
Shaikh Ibna Sazzad
@shaikhibnasazzad
AI researcher at RUET Neural Networks Lab who developed an SBERT-CNN model for Bengali social media analysis, achieving 94.5% accuracy.
What I'm looking for
At RUET Neural Networks Lab, I developed a hybrid SBERT-CNN model to screen social media posts for depressive behavior. It achieved 94.5% accuracy and a 0.986 AUC on more than 232,000 entries.
I also built custom NLP preprocessing and tokenization pipelines for text cleaning and semantic feature extraction. I was first author of a paper published at the 28th International Conference on Computer and Information Technology (ICCIT 2025).
For a Bengali chatbot project, I built a conversational AI pipeline using LLM architectures, with a focus on prompt evaluation and natural language understanding. My other projects include a CNN image classifier and desktop and web-based course registration systems.
As a freelance Web Developer for AloTutor Group, I designed, optimized, and deployed an official full-stack website for desktop and mobile browsers. I also authored a Bengali technical reference book on C programming for HSC students.
Experience
Work history, roles, and key accomplishments
Undergraduate Researcher
RUET Neural Networks Lab
Mar 2024 - Jul 2025 (1 year 4 months)
Architected a hybrid SBERT-CNN model for mental health screening from social media posts, achieving 94.5% accuracy and 0.986 AUC. Built custom NLP preprocessing pipelines and authored a paper published at ICCIT 2025.
Education
Degrees, certifications, and relevant coursework
Bangladesh Computer Council
EDGE Certification, Python-Django
2024 - 2025
EDGE Certification in Python-Django (80 Hours) from Bangladesh Computer Council and RUET.
Rajshahi University of Engineering & Technology (RUET)
Bachelor of Science, Computer Science and Engineering
2020 - 2025
Grade: 3.47 / 4.00
Bachelor of Science in Computer Science and Engineering from Rajshahi University of Engineering & Technology, with a focus on machine learning, deep neural networks, NLP, algorithms, and data structures.
IBM
Machine Learning Introduction for Everyone, Machine Learning
2023 - 2023
Machine Learning Introduction for Everyone certification from IBM via Coursera.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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