Tamjid On The Internet

Curriculum Vitae

Hi, I am Tamjid Hasan Fahim. Computer Science & Engineering freshman sophomore junior-year senior-year student (shocker!) at RUET. Wannabe a real computer scientist someday.

To me, Computer Science feels like just as Terry Pratchett wrote, “It is still magic even if you know how it is doing.” Magic not with wands and robes, but the kind where absurdly simple building blocks stack up through layers of abstraction until they turn into systems of remarkable complexity and elegance. This enduring sense of wonder, of being able to grasp the underlying mechanism yet still be astonished by its form, drives me to explore deeper into the black boxes that make modern computing possible.

My current research spans multimodal AI with a focus on NLP methodologies, data-efficient learning, faithful reasoning and adaptation of pretrained and foundation models to specialized domains. My eventual goal is to use computational models to better understand and replicate aspects of human thought processes. In particular, I am interested in how AI systems can move beyond surface-level statistical patterns toward representations that more closely resemble human perception, enabling them to develop a coherent, unified understanding from language and vision rather than treating information as fragmented signals across modalities.

Personally, I am INTP. Interested in architecture, cognitive science, literature, technology and memes. I’m open to team collaborations, internships and publication opportunities in relevant domains.

  • [Paper] When the Evidence Is Right, the Math Is Easy: Understanding the Challenges of Document-Grounded Reasoning — accepted at the DocInsights Workshop, EMNLP 2026.
  • [Paper] Dense Supervision, Gentle Decay: Curriculum-Guided Rebalancing of ELECTRA-Style RTD and MLM for Small-Data Pretraining — accepted at the BabyLM Workshop, EMNLP 2026.
  • [Paper] Overcoming Extreme Response Bias in LLMs via Rubric-Grounded Retrieval and Supervised Clinical Reasoning Distillation for Fine-Grained Ordinal Classification — BioNLP Workshop, ACL 2026. Best Interdisciplinary Insight Paper Award; 3rd place in the PsyDefDetect shared task.
  • [Paper] AREG: Adversarial Resource Extraction Game for Evaluating Persuasion and Resistance in Large Language Models — MusIML Workshop, ICML 2026.
  • [Academic Update] SGPA of 3.90 in my third-year even semester at RUET, placing in the top 1.7% of 177 students. March 2026.
  • [Paper] Domain-Adapted BERT for Bangla Hate Speech Detection: Contrasting Single-Shot and Hierarchical Multiclass Classification — Bangla Language Processing Workshop, AACL-IJCNLP 2025. Email | LinkedIn | Github | Leetcode | Facebook | Twitter | Discord