Modern Software Engineering with the BMad-Method

Tasmeea Rahman is a highly skilled and versatile professional with a rich background in both academia and industry. Currently serving as a Freelance Corporate Trainer at Abundent in Kuala Lumpur, Malaysia, Tasmeea specializes in developing content and providing training on a wide array of subjects including Machine Learning, Data Analysis with Python, MS Excel, Power BI, Minitab, Jaspersoft, Apache Superset, TIBCO Spotfire, and various electrical and mechanical 2D/3D design tools such as AutoCAD and Autodesk Fusion 360. Her role also encompasses project management training. Previously, Tasmeea worked as an Adjunct Lecturer at Leading University in Sylhet, Bangladesh where she was involved in curriculum development and delivering engaging lectures on electrical and electronics courses. She has hands-on experience in teaching subjects like electrical circuits, VLSI design, digital signal processing, and microprocessors. Before her academic stint, she served as a Design Engineer at ALCOVE in Dhaka, Bangladesh where she was responsible for providing electrical and architectural drawings along with planning and executing projects. Tasmeea holds a Ph.D. in Project Management from Universiti Putra Malaysia with a perfect CGPA of 4.00/4.00. She also earned a Master of Engineering Management from the same university and an MBA in Marketing from the University of Dhaka. Her educational foundation is built on a Bachelor's Degree in Electrical and Electronics Engineering from United International University in Bangladesh. In addition to her formal education, Tasmeea has several certifications including Train the Trainer Certification from HRD Corp and Agile Project Management Certifications from Google via Coursera. She is proficient in multiple engineering software tools and programming languages including MATLAB, AutoCAD, C++, Assembly language, and Python. Fluent in both Bengali and English, Tasmeea is committed to continuous learning and professional development.

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'