EXTRA

Research Motivation

My research is driven by a fundamental question: how do we build AI systems that are simultaneously powerful, accessible, and trustworthy? This question has guided my work across parameter-efficient adaptation, adversarial robustness, and equitable AI development.

I am motivated by the practical reality that most of the world cannot afford massive computational resources or extensive labeled datasets. This drives my focus on efficient fine-tuning methods that maintain model performance while dramatically reducing resource requirements. The challenge of making models robust against adversarial manipulation similarly stems from a commitment to deploying reliable systemsβ€”understanding failure modes is essential for building AI we can trust in critical applications. A core conviction underlying my work is that AI's benefits should not be limited by linguistic or economic barriers. My efforts in low-resource language processing aim to extend state-of-the-art capabilities to underserved communities, recognizing that true progress in AI means progress for everyone, not just well-resourced domains.

Looking forward, I am increasingly interested in machine unlearning and model editing - the ability to precisely modify what models know is crucial for addressing evolving privacy requirements, correcting biases, and maintaining model relevance over time. Ultimately, I aspire to develop adaptation and control mechanisms that make advanced AI both more capable and more responsible.

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