From Bangladesh — working toward transparent, explainable AI.
I am a computer science and engineering graduate from North South University, Bangladesh, driven by a deep interest in artificial intelligence's capabilities, limitations, and ethical responsibilities.
My research focuses on mitigating AI hallucinations, addressing bias, and confronting data scarcity, particularly in underrepresented, third-world contexts where limited data availability hinders the development of reliable AI systems. Beyond AI alignment, my work has also explored data security, including quantum key distribution, reflecting my commitment to building secure and trustworthy technologies. I am particularly passionate about advancing technically robust and responsible AI.
As I look ahead to pursuing a PhD in computer science, I am eager to contribute to cutting-edge research in misinformation detection, low-resource AI development, and ethical AI systems. My goal is to help shape a future where AI technologies are accurate, inclusive, and grounded in integrity.
Education
Experience
Skills
Tools
I have some published and on-going research on my relative sectors. Such as QC, NPL, LLM, Hallucination.
Learn moreI have developed few applications both Mobile and Web, also familiar with frame-work like Spring boot and machine learning tools.
Learn moreI started as a Volunteer to the organization,Right To Peace, later on I was promoted as the Wing Leader of IT wing.
Learn more
This project introduces a real-time desktop sentiment analyzer, a user-friendly Python application designed for instant sentiment classification of typed text. Leveraging the powerful cardiffnlp/twitter-roberta-base-sentiment model from Hugging Face Transformers, the analyzer accurately categorizes input into negative, neutral, or positive sentiments.
Media Literacy: Workshop on rumors, fact checking and trusted website selection
Contributed to youth-focused programs that promote digital inclusion and ethical awareness, strengthening my commitment to socially responsible and transparent information systems. [
Secured the place of Top 10 groups out of 104 groups!
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