Email

mahbubur.rahman@bcm.edu

Positions

Biostatistician

Medicine - Health Services Research
Baylor College of Medicine
Houston, US

Postdoctoral Researcher

University of Texas Medical Branch Galveston
Galveston, Texas United States
• Designed and developed simulation software modules (R / C++) to quantify the protein turnover rate in the mass spectrometry data sets. • Enhanced the feature of the existing software package to handle large amount mass spectrometry data. • Analyzed large amount of mass spectrometry data and then applied quantitative, machine learning models to infer important information regarding the protein turnover, genetic influence on the protein turnover etc.

Data Science Technical Expert

Chegg
Fremont, California United States
• Mentored students in the data science courses. • Graded data science assignments, including machine learning, deep learning projects.

Machine Learning Engineer

GeminiData
San Francsico, California
• Designed and developed algorithms to extract distinguishable features from the unstructured data sets while applying machine learning models. • Incorporated open-source software packages in the cloud.

Software Engineer

VizExplorer
San Diego, California
• Developed data driven analytical software modules to improve the business intelligence. • Developed pattern recognition algorithms based on time course data from different database resources. • Developed a software prototype to map a conversational statement to a query statement while using the machine learning / deep learning models.

Education

PhD from University of Houston

05/2015 - Houston, Texas

Computational Modeling, Machine Learning

MSc from Texas Tech University

12/2010 - Lubbock, Texas United States

Computer Science, Machine Learning

BSc from Bangladesh University of Engineering and Technology

12/2006 - Dhaka, Dhaka Bangladesh

Computer Science and Engineering

Certifications

Houston VAMC

Udacity Deep Learning Online Nano Degree Certificate

Udacity

A comprehensive certification on different machine learning, deep learning technologies as deep neural network, recurrent neural network, convolutional neural network, generative adversarial network.

Honors & Awards

Udacity Deep Learning Online Nano Degree Certificate

Udacity (07/2018 - 12/2018)

Professional Statement

I am a machine learning data engineer at the Baylor College of Medicine (BCM), Center for Innovations, Quality, Effectiveness & Safety (IQuESt) and research coordinator at the Michael E. DeBakey VA Medical Center (MEDVAMC). My background is in computer science and engineering and experience and expertise is in data mining using machine learning, deep learning algorithms, high performance computing. I have been designing, developing data analytical based decision providing systems through my academic and industry career for the last ten years. I worked in artificial intelligence focused research projects funded by NSF, NIH during my Masters, PhD and Post-doctoral appointments and published related results in six peer reviewed journals, two conferences and one book chapter. I am very much excited and interested to have a career in data mining, machine learning, deep learning focused positions.

Websites

Selected Publications

• M.Garbey, M.Rahman, S.Berceli "A Multiscale Computational Framework to Understand Vascular Adaptation." Journal of Computational Science. 2015;
• Mahbubur Rahman "A novel index-based multidimensional data organization model that enhances the predictability of the machine learning algorithms." 6th international conference on data mining (DTMN’20). 2020;
• Rovshan G. Sadygov, Jayant Avva, Mahbubur Rahman, Kwanwong Lee, Sergei Ilchenko, Takhar Kasumov, Ahmad Borzou "an Automated software for in vivo Protein Turnover Analysis using Heavy water Labeling and LC-MS." Journal of Proteome Research. 2018;
• Mahbubur Rahman, Mustafa Duran "Deep Learning in Instructional Analysis, Design, Development, Implementation, and Evaluation." Applications of Machine Learning and Artificial Intelligence in Education, IGI global publishers. 2021;

Projects

Natural Language Processing algorithm for the extraction of the sleep parameters from the Polysomnography report

Baylor College of Medicine (01/2022 - present)

Natural Language Processing algorithm for the extraction of the home sleep apnea parameters from the Home Sleep Apnea Testing reports.

Baylor College of Medicine, Center for Innovations in Quality, Effectiveness and Safety, Houston, TX 77030, USA (08/2022 - 03/2023)

A rule based multilevel NLP model for Automated Central and Mixed Apnea related Parameter Extraction from PSG reports.

Baylor College of Medicine, Center for Innovations in Quality, Effectiveness and Safety, Houston, TX 77030, USA (06/2023 - 09/2023)

Skills

Software Development Engineer

Machine Learning Data Engineer

Deep Learning Research and Development

Languages

Bengali, Arabic