π BONUS
π I am skeptical of AI progress that scales everything except accountability. π
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.
π Education
-
2023 - present PhD in Computer Science
Boston University, Boston, MA, USA -
2017 - 2021 BSc. in Computer Science and Engineering
Shahjalal University of Science and Technology, Sylhet, Bangladesh
πΌ Experience
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Summer 2026 Machine Learning Engineer Intern
Adobe, San Jose, CA, USA Worked on Adobe's internal insight diversification pipeline for their AI-powered content generation platform. -
2022 - 2023 Research Developer
Wikimedia Foundation, San Francisco, CA, USA Advised by Dr. Isaac Johnson and Dr. Martin Gerlach β built resources and pipelines for NLP research across the Wikimedia projects. -
2021 - 2022 Machine Learning Engineer
GigaTech Ltd., Dhaka, Bangladesh Developed the National Syntactic TreeBank for Bangla. -
2022 - 2023 Research Assistant
BRAC University, Dhaka, Bangladesh -
2021 - 2023 Research Affiliate
Bengali.AI, Dhaka, Bangladesh Built resources for low-resource language research.
π Teaching & Mentoring
Teaching
| Term | Course | Level | Size |
|---|---|---|---|
| Fall '26 | CS440 β Intro to AI | Undergrad | ~100 |
| Spr '26 | CS598 β AI CyberSecurity & Entrepreneurship | Grad | ~50 |
| Fall '25 | CS505 β Intro to NLP | Grad | ~100 |
Mentoring
| Year | Institution | Cohort | Outcome |
|---|---|---|---|
| 2026 | BUET | 2 undergrads | Ongoing (multimodal efficient learning) |
| 2026 | BRAC University | 3 undergrads | 1 paper (ACL-IJCNLP) |
| 2025 | Boston University | 2 undergrads (NSF-REU) | β |
| 2025 | BRAC University | 5 undergrads | 1 paper (EMNLP Findings) |
| 2021 - 2023 | Bengali.AI | mixed groups | 3 papers (Interspeech, ACL-IJCNLP, 1 under review) |
π§ Service and Leadership
-
Service
- Reviewer - NeurIPS, ICML, ICLR, CVPR, ECCV, ACL-ARR, IJCV
- Mentor - HSA , Intl. ML Olympiad
- Volunteer - Outreachy, BDOSN Ada Lovelace Celebration,
-
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
π Accolades
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- π₯ Champion, BRACATHON 3.0 - Healthcare, 2019
- π₯ Champion, SUST Tech Fest - Hackathon, 2019
- π 4th place, AI-Based Dhaka Traffic Detection Challenge, 2020
- π» Grace Hopper Scholarship Recipient, 2021
- π₯ 2nd Runner-up, CVPR AI City Challenge Track-4, 2022
- π₯ 2nd Runner-up, Microsoft Imagine Cup SEANM, 2022
- π Outreachy Internship at the Wikimedia Foundation, 2022
- π Dean's Fellowship, Boston University, 2023
- π« CRA-WP Grad Cohort Scholarship, 2025
- π CVPR WiCV Mentorship Grant, 2025
π Non-academic Interests
"I, for one, welcome our interpretable and computationally modest overlords." β