AI & Software Engineer with an EngD in Software Technology, a Master's in Artificial Intelligence , and a Bachelor in Software Engineering, building and shipping AI-powered software end to end from LLM-based agentic systems and RAG pipelines to the Python backends, APIs, testing and CI/CD that put them into production. At ASML, I developed and shipped the Root Cause Advisor, an agentic AI system that automates root-cause analysis of failing test executions, together with the evaluation tooling that proves it works.
D&E PI XPP C Holistic Digital Integration Group | Nov 2024 - Oct 2026
Department of Mathematics and Computer Science | Nov 2024 - Oct 2026
Applied Mathematics and Computational Biology Laboratory | March 2024 - August 2024
May 2023 - July 2023
An Online Doctor Chamber application with collaboration with Daffodil International University | Jul 2020 - Jan 2021
GRADE 8/10
GRADE 14.4/20
CGPA 3.99/4.00
My reserach interest are in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision
Object Oriented Concepts, Object Oriented Design, Web Application Development, Data Communication, Digital Electronics and Logic Design, Business Communication and Analysis
Building ML/AI models to get insights of business and enhance the business growth
My expertise is in Django web application development which also allows to deploy ML/AI models in the website
MS Arman et al. (2022). "Medicine prediction based on the doctor's degree: A data mining approach". Indonesian Journal of Electrical Engineering and Computer Science, Volumn 26, Issue 2, May 2022. Pages 1125-1134. DOI: 10.11591/ijeecs.v26.i2.pp1125-1134
H Jahan et al. (2022). “Sentiment Analysis of E-commerce Consumer Based on Product Delivery Time Using Machine Learning”. Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021. Pages 649-661. DOI: 10.1007/978-981-19-2347-0_51
S. F. Hossain et al. (2021). "Automation System To Find Out Plasma Donor For Corona Patients". International Journal of Software & Hardware Research in Engineering, Volume 9, Issue 5, May 2021. Pages 31-35. DOI: 10.26821/IJSHRE.9.5.2021.9507
MA Hossen et al. (2021). "A Web-Based Four-Tier Architecture Using Reduced Feature Based Neural Network Approach for Prediction of Student Performance". 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), January 2021. DOI: 10.1109/ICREST51555.2021.9331003
E-Ticket
Java Project
Public, Health
Health, COVID-19
Health
Health, AI
May, 2022
June, 2021
March, 2021
June, 2020
July, 2019
December, 2019