Honor Society® member
Nibras Ar Rakib
Research Assistant and Lab Manager at School of Information and Library Science, University of North Carolina at Chapel Hill, USA • Developed a health expert recommender system using MySQL, Next.js and Flask to support FAIR principle • Developed and deployed machine learning model using AWS SageMaker to predict post-partum depression for healthcare practitioners • Created an ETL pipeline using Python and MySQL that extracts attributes from raw text of health expert's biographies using NLP techniques and stored into a normalized database for generating network graph • Established interoperability with REDCap to securely store PHI using Amazon Incognito and Flask • Developed an ETL pipeline to capture user interaction to improve existing website • Developed a chatbot using Google Apps Script and Flask to improve communication between lab members • Led a weekly meeting with 21 lab members, shared the update about ongoing project activities and upcoming deliverables with the director of the lab • Organized and provided IT infrastructure support at Analytics and Machine Learning Techniques for Maternal Health Intervention workshop (joint collaboration between Carolina Health Informatics Program and North South University, Bangladesh)
- University of North Carolina at Chapel Hill
- Biomedical and Health Informatics
- Class of 2023
- USA
Member since December 2022
About
My long term career goal is to leverage my technical and domain expertise to create innovative and impactful solutions to improve access to healthcare services and quality of care.
As a Graduate Research Assistant at the School of Information and Library Science, University of North Carolina at Chapel Hill (UNC-CH), I apply my skills to improve the impact on research management outcome using FAIR principle that aid practitioners and stakeholders to make patient-centric decisions. I have over 5 years of experience in software engineering, with a focus on biomedical and health informatics, ETL, data visualization, and interoperability between two different health systems.
Before I decided to pursue my master's degree at UNC, I led an informatics team at icddrb (a leading global health research institute) where I implemented, improved the performance and functionalities of the nationwide routine health information system, developed real-time dashboards, and established interoperability between DHIS2 and routine health information system.
Throughout my career, I have had the opportunity to work with a multi-disciplinary team of several successful projects at icddrb including the icddrb/MEASURE Evaluation Phase IV Project led by the University of North Carolina at Chapel Hill (UNC-CH), and facility mapping project named Urban Health Atlas led by GIZ and IDRC.
Education
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University of North Carolina at Chapel Hill, USA
Biomedical and Health Informatics
2022 – 2023
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BRAC University
Computer Science and Engineering
2014 – 2016
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Ahsanullah University of Science and Technology
Computer Science and Engineering
2007 – 2011
Honors and awards
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Graduate School Master’s Merit Scholarship
Aims to support students with a competitive academic profile and demonstrated leadership skills.
Goals and interests
- Career goal
Data Engineering, Full stack developer, AI, NLP
- Graduate school interests
NLP, Blackbox testing, AI, Data Pipeline
Experience
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Research Assistant and Lab Manager
School of Information and Library Science, University of North Carolina at Chapel Hill, USA • Developed a health expert recommender system using MySQL, Next.js and Flask to support FAIR principle • Developed and deployed machine learning model using AWS SageMaker to predict post-partum depression for healthcare practitioners • Created an ETL pipeline using Python and MySQL that extracts attributes from raw text of health expert's biographies using NLP techniques and stored into a normalized database for generating network graph • Established interoperability with REDCap to securely store PHI using Amazon Incognito and Flask • Developed an ETL pipeline to capture user interaction to improve existing website • Developed a chatbot using Google Apps Script and Flask to improve communication between lab members • Led a weekly meeting with 21 lab members, shared the update about ongoing project activities and upcoming deliverables with the director of the lab • Organized and provided IT infrastructure support at Analytics and Machine Learning Techniques for Maternal Health Intervention workshop (joint collaboration between Carolina Health Informatics Program and North South University, Bangladesh)
Aug 2022 – Dec 2023
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Senior Programmer
Maternal and Child Health Division, ICDDR, B http://www.icddrb.org/ | An International Health Research Organization in Bangladesh icddr,b is one of the world’s leading global health research institutes. committed to solving public health problems facing low- and middle-income countries through innovative scientific research – including laboratory-based, clinical, epidemiological and health systems research. • Led an informatics team for continuous development and improvement of nationwide routine health information system • Improved the performance of stored procedures that reduced the report generation times by 3 times • Developed real-time data visualization dashboard using PostgreSQL, Java Servlet and React for routine health information that housed 40 million patients to improve the service delivery • Developed interactive dashboard using Django and Google Charts for Ministry of Health and Family Welfare, Bangladesh to track, monitor and meet the SDG indicators and annual program implementation goal • Worked closely with the respective donors and implementation partners e.g., USAID, UNFPA, Save the Children International to manage, plan, define and execute the IT strategy for the sustainability of the national routine health information systems
May 2020 – Jul 2022
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Programmer
Maternal and Child Health Division, ICDDR, B • Developed and maintained real-time report generation tool using PostgreSQL, Java Servlets and jQuery for routine health information system in Bangladesh • Established interoperability by developing DHIS2 webapp between DHIS2 and routine health information system using React and Django • Customized DHIS2 to increase the coverage of data collection for Directorate General of Family Planning, Bangladesh (DGFP) • Maintained Linux server operation (Apache Tomcat, NGINX, Bash Scripting, PostgreSQL, load balancing) for smooth day to day operation
May 2018 – Apr 2020
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Senior/ Research Officer
Health System and Population Studies Division, ICDDR, B • Actively engaged in data driven web development using Laravel, MySQL and jQuery • Developed android application for GIS mapping • Mediated the process gap between researchers and computer programmers • Supervised research officer in order to meet project goal
Aug 2016 – Mar 2018
Languages
- English (US) Intermediate
