teaching
Mentoring, judging and collaborative study experience.
Self-Adapting LLM Vulnerability Study Group
We study:
- The internal architecture of self-adapting large language models
- The applicability of reinforcement learning in self-adaptation
- Catastrophic forgetting in LLMs
- How to design attacks that expose loopholes when integrating these models into real-world applications or systems
- How to make them more secure while keeping them efficient for real-world deployment, without sacrificing performance
Our base paper: Self-Adapting Language Models
Judge & Question Setter — Bangladesh Artificial Intelligence Olympiad 2026
- Served as a judge for the regional stage of the Bangladesh Artificial Intelligence Olympiad 2026
- Set questions for the competition, designing problems to assess participants’ understanding of artificial intelligence concepts
- Evaluated participant submissions and contributed to selecting candidates advancing from the regional round
View post: Facebook
Academic Mentor — Physics, Chemistry & Mathematics
- Mentored over 100 students across SSC, HSC, O Level and A Level curricula
- Taught core topics in physics, chemistry and mathematics, focusing on conceptual understanding rather than rote learning
- Began mentoring in my first undergraduate year and continued throughout my degree
- Most of the students I mentored went on to enrol in prestigious engineering and general universities in Bangladesh