I am Zabir, and I am a self-taught software engineer with around 5 years of machine learning experience (especially in the deep learning domain). I write Python, C++, and Matlab/Octave. Deep learning (computer vision, NLP, multi-modal) is where I feel at home. My research interests are explainable multi-task learning, LLMs, biomedical image analysis, speech analysis, meta-learning, and xAI. At my current role, I do prompt engineering, write ETL pipelines, fine-tune LLMs.
December, 2023
I passed the Google Cloud Professional Machine Learning Engineer Certification exam. (Certification)
Read moreFebruary, 2023
I was selected as a fellow @ Fatima Fellowship Program 2023. The Fatima Al-Fihri Predoctoral Fellowship is a nine-month-long research program aimed at individuals contemplating a PhD in machine learning. (Acceptance rate: < 20%)
Read moreApril, 2022
Fibro-CoSANet: pulmonary fibrosis prognosis prediction using a convolutional self attention network was accepted and published in Physics in Medicine & Biology IOP Science, Impact factor: 4.174
Read moreJanuary, 2021
Brainekt AI Lab received a research grant of $4000 to develop Roadbot - a driving assistance system using computer vision.
Read moreFebruary, 2020
I became one of the recipients of Innovation fund from ICT division, Bangladesh Govt. A research grant of $6000 was approved for the research of brain signal analysis using EEG and machine learning.
Read moreSeptember 9, 2019
My team Diversense got 7th place in Bengali.AI handwritten character recognition challenge.
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