Resume

Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign (UIUC)

Urbana-Champaign, IL, USA

• Incoming Ph.D. Student — admitted starting Fall 2026

Bangladesh University of Engineering and Technology (BUET)

Dhaka, Bangladesh

• Graduated June 2026
• Thesis Supervisors: Dr. M. Sohel Rahman, Dr. Md. Shamsuzzoha Bayzid
• CGPA: 3.88 / 4.00

Notre Dame College

Dhaka, Bangladesh

• Top 0.6% in the college rank

Rajuk Uttara Model College

Dhaka, Bangladesh

• Ranked 1st for 4 years

Carnegie Mellon University (Xu Lab)

Pittsburgh, PA, USA (Remote)

• Advisor: Dr. Min Xu
• Unsupervised Cryo-ET segmentation with stable diffusion foundation models — accepted at CVPR 2026 (Highlight and Award Candidate)
• Macromolecule localization from extremely sparse labels — accepted at Briefings in Bioinformatics
• Tomogram preprocessing and denoising for high-resolution biological structure reconstruction

University of Wisconsin–Madison (Adaptive Inference Lab)

Madison, WI, USA (Remote)

• Advisor: Dr. Ben Lengerich
• Co-authored a comprehensive review on contextualized machine learning and interpretability in foundation models
• Contributed to the AdaptInfer framework and contextual awareness in data-driven modeling (Completed)

Bangladesh University of Engineering and Technology (BUET)

Dhaka, Bangladesh

• Supervisor: Dr. M. Sohel Rahman — semi-supervised, multimodal breast cancer classification (Accepted, NSyS 2024) and connectomics EM segmentation (Ongoing)
• Supervisor: Dr. Md. Shamsuzzoha Bayzid — RNA task accuracy estimation via self-supervised losses and multimodal training frameworks for biological connectomics (Ongoing)
• Supervisor: Dr. A.B.M. Alim Al Islam — EEG-based context-aware deep learning for single-electrode epilepsy prognosis and real-time BCI modeling (Accepted, NeurIPS Workshop)
• Supervisor: Dr. Ch. Md. Rakin Haider — SpectraSentinel, a dual-stream real-time drone detection and tracking system (Submitted)
• Supervisor: Dr. K.M. Ariful Kabir — stochastic spatio-temporal epidemiology on multiplex networks (Submitted)

National University of Singapore (NUS)

Singapore

• On-site research internship focusing on health informatics and computational biology
• Contributing to interdisciplinary research at the intersection of biomedical data analysis, machine learning, and computational biology

Bangladesh University of Engineering and Technology (BUET)

Dhaka, Bangladesh

• Part-time work on Education AI, developing question-generation modules based on frontier generative models
• Collaborating on an adaptive question generation pipeline for personalized, curriculum-aligned assessment

Research & Innovation Centre (RIC), BUET

Dhaka, Bangladesh

• Project: Identification of Dengue Breeding Sites through Object Recognition (HE-01-244)
• Deep learning-based object recognition for dengue vector surveillance and public health image analysis

PinkLifeLine

• Health-tech startup from NeoScreenix (JHU 2025 Global Champion), funded by Bangladesh National ICT Division
• Partnered with Sustainlaunch Labs (global innovation accelerator) and Herwill (women's empowerment & digital inclusion)
• Built and leads a 50+ medical professionals network; leads ML clinical data pipelines & screening workflows

BUET CSE Fest Deep Learning Sprint 2025

• Coordinated largest national AI datathon; designed problems and rubric, supervised judging
• Collaborated with academic & industry mentors to ensure high-quality competition standards

• Developed a smart AI system for early breast cancer screening integrating multimodal imaging and explainable deep learning
• Won 1st place among 440+ global teams and 200+ universities in the "Digital Health" category, representing BUET
• Official competition page · Featured in Daily Star, TBS News, UNB News, and national TV

• Designed a vision-based drone detection and payload identification system using RGB–IR fusion models
• Implemented real-time detection and tracking pipelines optimized for UAV surveillance, achieving top-tier accuracy and inference speed worldwide

• International hackathon on quantum computing and clinical trial optimization, organized by Quantinuum and the University of Bradford
• Finalist in the Clinical Trial Optimization track (Mayo Clinic dataset); built a hybrid quantum–classical pipeline with QUBO formulation, D-Wave quantum annealing, hardware-aware QAOA on IBM NISQ devices, and warm-start hybrid solver strategies

• KUET 2025 (Top 5%) · BUET DL Sprint 2024 (Top 15%) · CZI Kaggle 2024 (Top 43%) · SUST DL Enigma 2024 (Top 34%)

• National-level code refactoring and software quality competition at IUT ICT Fest 2024
• Focused on resolving code smells and improving maintainability, readability, and structural design — GitHub repository

• Sustained academic excellence (CGPA > 3.75 over three consecutive years) and topped the department

• Invited speaker for the webinar "Unlocking IEEE SP Cup & VIP Cup: A Beginner's Guide"

• Ranked 4th nationally and selected for extended national camp to represent Bangladesh at IChO 2020

• Comprehensive collection of undergraduate CS course materials, structured solutions, and documentation covering Data Structures, Algorithms, Databases, Operating Systems, Computer Networks, and more
• GitHub repository