Experience
Research Assistant
| Qatar University (Remote) | July 2022 - Present |
I’ve had the opportunity to work as a Research Assistant at Qatar University, where I contribute to cutting-edge projects in deep learning and biomedical AI. My work focuses on developing novel deep learning models for medical image analysis and signal processing, particularly for non-invasive diagnostic solutions. During my time here, I have:
- Developed a machine-agnostic framework for the segmentation of lumbar MR images, achieving state-of-the-art accuracy.
- Designed and implemented a deep learning model to extract fetal ECG from non-invasive abdominal ECG signals, advancing early diagnosis of fetal health conditions.
- Contributed to publications in high-impact journals, demonstrating novel approaches to biomedical AI problems.
Machine Learning Engineer
mPower Social Enterprises Ltd | June 2022 - Present
At mPower, I worked on several impactful AI-driven projects, applying deep learning and computer vision to real-world challenges. My primary responsibilities included building and deploying machine learning models, collaborating with cross-functional teams, and contributing to the overall architecture of AI solutions. Key projects include:
- Cattle Identifier using Muzzle Imprint: Built a deep learning-based computer vision system to uniquely identify cattle from muzzle images, providing a solution for livestock management.
- Automatic Speech Recognition for Foreign Language Learning: Developed an ASR system that helps non-native Bengali speakers improve pronunciation, utilizing a novel Phonetic Distance metric to measure accuracy.
Software Engineer
| HeavyTask LLC | 2020 - 2021 |
As a Software Engineer at HeavyTask, I was responsible for programming and optimizing backend services. I worked on:
- Designing and developing robust APIs for a CRM platform, optimizing performance to handle high traffic.
- Collaborating with product and frontend teams to ensure seamless integration and efficient delivery of features.
Undergraduate Researcher
University of Dhaka | 2020 - 2023
During my undergraduate years, I conducted research in multimodal sensing and biomedical AI. My research projects focused on identifying human activity using Wi-Fi Channel State Information and developing a method to extract fetal ECG from maternal ECG for early diagnosis of cardiac issues. These projects led to successful outcomes, including a Q1 journal publication and top grades for my thesis work. My key accomplishments include:
- Achieving the highest distinction for my project on human activity recognition.
- Developing a novel framework for fetal ECG extraction, which was later published in a prestigious journal.