Md Mahfuzer Rahman Email & Phone Number

Montevallo, Al, Us

Montevallo, Alabama, United States

Fayetteville, Arkansas, United States

Assisted instructor in delivering software engineering course in Fall 2020 and Spring 2021. Instructed and mentored individuals in applied technology and computer science majors in their course works and projects. Graded assignments and exams to evaluate student performance. Tested functionality and features, evaluated, and scored projects deployed in the Heroku cloud platform.• Provided support to class consist of more than 70 students through virtual office hours, email, screen sharing to resolve course and project problems in a full-stack development environment (PostgreSQL, NodeJS, Git, Apache Maven, etc.).

Fayetteville, Arkansas, United States

Enhanced recommendation process's operational proficiency for mashup software applications by designing a novel recommendation model that integrates two-level topic modeling with clustering approaches and enforces joint learning on the liked, disliked, occurrence information simultaneously utilizing NLP, parallel matrix-factorization, and other algorithms. Designed and created an opinion prediction model exploiting co-relation between peoples' opinions on public issues for the cyber-argumentation platform. • Accomplished 54% more precise and 36% more diverse API recommendation results over current baseline models. Achieved 21.7% more accurate predicted opinions than existing opinion prediction methods.• Successfully published innovative research works in conferences and journal, including top venues in service computing (IEEE SCC 2020, SOTICS 2019, & IEEE TSC vol. 13, no. 1).• Enhanced user engagement in the cyber-argumentation platform by developing features such as exponential back off, deliberative polling, exit survey, discussion collective intelligence etc., with cross-collaboration of team.

Fayetteville, Arkansas, United States

Designed, and implemented a proprietary recommendation model for truckload matching to J.B. Hunt’s carriers and drivers focusing on localized driving pattern in an ensemble collaborative-filtering based recommendation model infused with domain knowledge and prioritizing location data. Combined large scale and high dimensional data from multiple sources and developed models to explore and analyze spatio-temporal driving pattern, seasonal behavior, trends, groups, anomalies etc. present in the data. • Outperformed the accuracy of the previous in-house model used by J.B. Hunt, especially for the carriers and drivers with little trip history to learn about and recommend truckloads.• Decreased empty miles and boosted resource utilization among independent carriers and drivers of J.B. Hunt through effective and optimized truckload recommendations.

Fayetteville, Arkansas, United States

Served as a graduate teaching assistant for software engineering course in fall 2016, and spring 2017. Created course materials and draft questions for assignments and exams for the instructor. Communicated with IBM's contact person to license two Rational Rose software with 60 licenses for the course.• Constructed use case, class, and sequence diagrams and instructed students on analyzing and creating those diagrams using IBM's Rational Rose Enterprise and Rational Rose RealTime software.

Fayetteville, Arkansas, United States

Produced effective recommendation results for mashup applications by developing an API recommendation model that identifies signature topics distributed over a network of mashup documents by creating topic probability distributions utilizing LDA, topic transition probabilities among the linked documents, Jensen-Shannon divergence, and matrix factorization models. • Achieved 41% more precise, and 58% more diverse recommendations results than other baseline methods, published model in the top service computing conference (IEEE SCC 2017).• Effective at handling data sparsity and cold start issues for mashups with few invoked APIs in history, which causes machine learning based and other traditional recommendation approaches to fail.

Fayetteville, Arkansas, United States

Worked as a graduate teaching assistant for artificial intelligence course in Spring 2016. Instructed students, graded course works, and reviewed code. Provided support to more than 60 students through office hours, emails to sort out any concept or implementation related issue on topics such as Alpha-beta pruning with Chess, Mini-max with tic-tac-toe, Q learning, etc.

Dhaka, Bangladesh

Used MFC and C++ to create and deploy customized window controls, features, and dynamic-link libraries while executing agile scrum methodology for a cross-platform simulation-based host software framework with a multicultural team of France, Bangladesh, and India. Boosted system proficiency by debugging and troubleshooting bugs and technical issues and delivering effective cross-platform solutions. Utilized native features and modules offered by the host framework to coach and support client developers on building simulation software applications.

Doctor Of Philosophy - Phd, Computer Science

Bachelor Of Science - Bs, Computer Science

Higher Secondary Certificate (H.S.C.)