EXTRA

Research Motivation

I am skeptical of AI progress that scales everything except accountability.

My research sits at the intersection of three questions: how do we adapt powerful models without requiring unlimited resources? How do we evaluate them honestly, beyond what aggregate metrics are designed to hide? And who are we building them for? These questions have taken me from parameter-efficient fine-tuning to adversarial benchmarking to low-resource NLP β€” and increasingly toward mechanistic interpretability, where the goal is understanding not just what models output, but what they actually represent.

Efficiency, interpretability, and inclusion are not separate research agendas for me. They are the same argument at different levels of abstraction.

πŸŽ“ Education

  • 2023 - present
    PhD
    Boston University, Boston, MA, USA
  • 2017 - 2021
    BSc. in Computer Science and Engineering
    Shahjalal University of Science and Technology, Sylhet, Bangladesh

πŸ’Ό Experience

  • 2022 - 2023
    Research Developer
    Wikimedia Foundation, San Francisco, CA, USA
  • 2021 - 2022
    Machine Learning Engineer
    GigaTech Ltd., Dhaka, Bangladesh
  • 2022
    Research Assistant
    BRAC University, Dhaka, Bangladesh
  • 2021 - present
    Research Affiliate
    Bengali.AI, Dhaka, Bangladesh

πŸ€– Research Interests

  • Primary
    • Parameter-efficient Finetuning, Model Editing, Adversarial Attacks, Machine Unlearning
  • Secondary
    • Bias Mitigation & Fair Representations, Robust Domain Adaptation,
    • Knowledge Infusion, AI For Social Good

πŸ› οΈ Skills

  • Programming Languages
    • Python, C++, Java, JavaScript, SQL, SPARQL
  • Machine Learning Frameworks
    • PyTorch
    • Keras
    • OpenCV
    • pySpark
  • Frameworks
    • Flask, Django, Android
  • Tools and Misc.
    • Git, Docker, Linux, Bash, LaTeX, Markdown, HTML, CSS, Firebase

🧭 Leadership & Service

  • Leadership
    • Founding Member | SUST ACM Student Chapter
    • Judge | SUST Tech Fest DL Enigma, BDOSN NLP Hackathon
    • Organizing Committee | IEEE ICBSLP, 2019. SUST Tech Fest, 2020
  • Service
    • Mentor - HSA , Intl. ML Olympiad
    • Volunteer - Outreacy, BDOSN Ada Lovelace Celebration,

πŸ… Accolades

    • πŸ₯‡ Champion, BRACATHON 3.0 - Healthcare, 2019
    • πŸ₯‡ Champion, SUST Tech Fest - Hackathon, 2019
    • πŸ… 4th place, AI-Based Dhaka Traffic Detection Challenge, 2020
    • πŸ’» Grace Hopper Scholarship Recipient, 2021
    • πŸ₯ˆ 2nd Runner-up, CVPR AI City Challenge Track-4, 2022
    • πŸ₯ˆ 2nd Runner-up, Microsoft Imagine Cup SEANM, 2022
    • 🌐 Outreachy Internship at the Wikimedia Foundation, 2022
    • πŸŽ“ Dean's Fellowship, Boston University, 2023
    • πŸ’« CRA-WP Grad Cohort Scholarship, 2025
    • 🌟 CVPR WiCV Mentorship Grant, 2025

πŸŒ™ Non-academic Interests

    • HOZIER 𓇒𓆸
    • Malai Chaa β˜•
    • Analog Horror πŸ“½οΈ
    • Folk Horror π“Šπ“‹Όπ“Šπ“‹Όπ“Š
    • Gothic Horror πŸ¦‡
    • Cosmic Horror 🌌
    • Ritual Horror πŸ•―οΈ
    • Ambient Horror 🌫️
    • Magical Realism ✨
    • Fall of my enemies ☠️
    • Comics πŸ¦Έβ€β™‚οΈ
    • Anime productions by Mappa 🎌
    • Seas with warm water 🌊
    • Anything by Neil Gaiman and Alan Moore πŸ“š