π BONUS
π I am skeptical of AI progress that scales everything except accountability. π
I study multimodal learning, guided by four commitments, and each one shows up in my work:
- 01Understand, don't just score. Evaluate models honestly, beyond what aggregate metrics are designed to hide.β³arXiv:2505.21649 βarXiv:2402.00626 β
- 02Look inside. Examine the representations behind behavior, and the gap between observed behavior and underlying vulnerabilities or retained knowledge.β³arXiv:2601.10566 β
- 03Stay efficient. Adapt powerful models without requiring unlimited resources.β³arXiv:2411.16870 βarXiv:2603.27383 β
- 04Ask who it's for. Keep asking who we are building them for.β³arXiv:2510.20043 β
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
-
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
-
- 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
Inventory15 items
01 HOZIER
02 Malai Chaa
03 Analog Horror
04 Folk Horror
05 Gothic Horror
06 Cosmic Horror
07 Ritual Horror
08 Ambient Horror
09 Magical Realism
10 Fall of my enemies
11 VideoGame Lores
12 Comics
13 Anime productions by Mappa
14 Seas with warm water
15 Anything by Neil Gaiman and Alan Moore
"I, for one, welcome our interpretable and computationally modest overlords." β