About

Greetings! I'm Md Shahidur Rahaman, currently embarking on an exciting journey as a PhD student in Texas A&M University , College Station with a deep-rooted passion for cybersecurity and software security. I recently graduated with a Master's of Science in Computer Science from Baylor University, where I not only advanced my technical skills but also developed a keen interest in the intricate aspects of software and cyber safety.

I am currently under the mentorship of Nitesh Saxena at the SPIES research lab. My present research focus is at the crossroads of Cybersecurity, Software Engineering. I am also interested in an interdisciplinary area that leverages machine learning (ML) techniques to improve cybersecurity measures and apply cybersecurity principles to safeguard ML systems.

Interest

I am currently focused on the dynamic intersection of Cybersecurity, Software Engineering, Software Security, and Machine Learning. My research aims to:

  • Cybersecurity: Develop innovative strategies for advanced threat detection and mitigation, enhancing digital system defenses against emerging cyber threats.
  • Software Engineering: Explore efficient, reliable software development methodologies, integrating machine learning to improve the software development life cycle.
  • Software Security: Investigate secure coding practices, creating frameworks for security testing to build resilient software systems.
  • Machine Learning: Apply machine learning algorithms in cybersecurity for threat and anomaly detection, while addressing AI ethical challenges, biases, and privacy concerns.
My goal is to contribute towards a safer, more secure digital environment through the integration of these key disciplines.

Education

Baylor University

August 2021 - December 2023
Masters of Science
Computer Science

CGPA: 3.51

Military Institute of Science and Technology

January 2014 - January 2018
Bachelors of Science
Computer Science and Engineering

CGPA: 3.54

Skills

Java 100%
C++ 90%
Spring Cloud, MVC100%
JavaScript 80%
Containerization: Docker, AWS, Kubernetes 85%
Apache Kafka, RabbitMQ 90%
SQL80%
Jenkins, GitLab CI/CD90%

Experience

Academic Experience

Graduate Research Assistant

January 2023 - December 2023

Baylor University

  • Pioneered funded project, enhancing cybersecurity materials for high school students benefiting 110 students.
  • Employing advanced penetration testing methodologies, cultivated a remarkable 25% surge in the acquisition of vulnerability identification skills.

Graduate Teaching Assistant

August 2021 - December 2022

Baylor University

  • Actively managed 12 software engineering lab projects as a Scrum Master for 72 students, promoting Agile methodologies and facilitating collaboration.
  • Mentored students in lab sessions, providing technical support and encouraging growth in software engineering skills.

Professional Experience

Software Engineer

December 2020 - July 2021

BASIS Europe Distribution GmbH

  • Spearheaded full-stack software development of an in-house project using BBj technology, achieving a 40% processing time reduction.
  • Implemented OAuth2 and SAML authentication in Car Management System with BBj, resulting in a 70% decrease in unauthorized access incidents.
  • Evaluated executable JAR development for client-based project, achieving 15% improved system responsiveness and 25% error rate reduction.

Senior Officer, IT

March 2019 - November 2020

DUTCH BANGLA BANK LIMITED

  • Architected and executed a robust Debit Card management solution through a Restful API, seamlessly empowering operations for a vast user base surpassing 3 million.
  • Directed the seamless execution of SOAP to Restful migration, boosting API response speed by 40% and lowering downtime by 20%.
  • Developed a potent Servlet-based Credit Card processing system, optimizing operations for 200,000 users.

Software Engineer

March 2018 - February 2019

SOUTHTECH Limited

  • Managed “Magic Doors” and “ReportSp” ASP.NET Core projects, achieving 25% faster responses and 20% higher satisfaction for 100,000 users.
  • Optimized ICDDR, B’s fleet delivery, improving efficiency by 40% and on-time deliveries by 20% for 500 vehicles.
  • Accelerated cross-functional teams for requirements gathering, defining project scope, and ensuring timely delivery.

Contact

Location:

L.F. Peterson Building, 435 Nagle St, College Station, TX 77843

Call:

+1 254 327 6044