About
I am a Computer Science PhD candidate at Binghamton University (SUNY) and a Research Assistant in the Real-Time Embedded Systems Lab (RTLab), advised by Prof. Kyoung-Don Kang. My research focuses on multimodal retrieval and vision-language models, along with robust and efficient machine learning: out-of-distribution detection, test-time adaptation, and edge AI.
In summer 2026, I was an Applied Research Intern at eBay, where I worked on localized multimodal retrieval (LoCaR) and fine-tuned BLIP for fashion product search. Before my PhD, I was a Research Scientist at Cobalt Speech and Language, building transformer-based call summarization models, and I received my BSc from Bangladesh University of Engineering and Technology (BUET).
Outside research, I enjoy hiking, playing soccer, and watching a good game.
Recent News
October 2026
Our paper accepted in ICDCN 2027 (Networking track, regular paper) titled "WASP: An Edge-AI Framework for Reliable Insect Pest Monitoring in Challenging Sensing and Communication Environments".
August 2026
Wrapped up my summer as an Applied Research Intern at eBay. We introduced TIP-REGION, a training-free paired-exemplar method that consistently improves region-level retrieval across three heterogeneous frozen backbones (CLIP, SigLIP2, and Qwen3-VL-Embedding), together with LOCFG, a leakage-controlled benchmark for small-referent retrieval; the paper is being prepared for submission to ICLR. I also fine-tuned a BLIP model with visual-grounding late interaction on eBay Fashion data, substantially improving over the existing retrieval model.
My team also won eBay's Vibe Coding Hackathon across all intern teams. The project was recognized by eBay CEO Jamie Iannone and drew follow-up interest from the marketing team.
May 2026
Joined eBay in California as an Applied Research Intern, working on multimodal retrieval for e-commerce search.
June 2025
Our paper accepted in Sensors titled "TDA-L: Reducing Latency and Memory Consumption of Test-Time Adaptation for Real-Time Intelligent Sensing".
November 2024
Our team secured second runner-up in the eBay ML 2024 competition, where we developed a solution for extracting vehicle fitment from advertised data using LLMs such as Mistral Nemo 12B and Qwen 2.5 14B.
August 2024
Started my PhD in Binghamton University (SUNY) at school of computing under the supervision of Prof. Kyoung-Don Kang.
May 2024
Defended my Master's thesis titled "A DNN for Detecting Spotted Lanternflies Using Energy Efficient WAN" at Binghamton University (SUNY).
December 2023
Our team secured second runner-up in the eBay ML 2023 competition, where we developed a semi-supervised teacher-student framework to enhance product tag tiling performance using RoBERTa.
August 2023
Our paper accepted in ICCV 2023 titled "SSDA: Secure Source-Free Domain Adaptation".
May 2023
Joined Binghamton University (SUNY) as a Research Assistant.
March 2022
Joined Cobalt Speech and Language as a Research Scientist.
July 2021
Our paper accepted in IJCNN 2021 titled "Dynamic perturbation of weights for improved data reconstruction in unsupervised learning".
April 2021
My paper accepted in I2CT 2021 titled "A hybrid clustering pipeline for mining baseline local patterns in 3d point cloud".