Md Al Mamun
Macaspac

I supported over 120 students in calculus and C programming, offering 11 hours of weekly guidance through problem-solving sessions, project help, and one-on-one support. I worked closely with faculty to evaluate student work and provide detailed, actionable feedback, which contributed to a 33% improvement in overall course outcomes. Throughout the term, I focused on building an inclusive learning environment—helping students strengthen their mathematical intuition, develop confidence in programming, and approach complex concepts with curiosity and resilience.

During this program, I created accessible and engaging lesson materials for Python and Engineering Mathematics, tailored for 90 incoming first-generation students. I led weekly study sessions designed to ease the transition into STEM coursework and build foundational confidence. Every participant reported positive feedback, highlighting the clarity of the materials and the supportive learning atmosphere. My goal was to make the first exposure to college-level STEM both empowering and enjoyable.

I received a $6,000 research grant to design a graph-neural-network–based approach that integrates phonetic information into language models for low-resource language processing. Working with a four-person research team, I coordinated literature reviews across 23 papers, organized faculty meetings, and guided the project through bi-weekly milestones. Through iterative model refinement, we expanded the algorithm's applicability and improved performance across multiple underrepresented languages—moving toward more inclusive and equitable AI systems.