Agile Software Development with Microservices

Tarun Sukhani is a distinguished business and IT professional with over 25 years of industry experience spanning multinational corporations across the US, Europe, Asia, South America, and the Middle East. His extensive career includes senior executive positions such as CIO/CTO, director, and board member at prominent organizations including Dell, AMD, and Experian, as well as regional conglomerates like Indra in Asia Pacific. Throughout his career, he has demonstrated exceptional expertise in web-scale software development and large-scale IT operations management across diverse industries. As a professional trainer and consultant, Tarun brings a comprehensive portfolio of technical and strategic expertise to his teaching practice. His areas of specialization encompass Agile methodologies (Scrum, SAFe, Kanban, Lean), enterprise architecture frameworks (TOGAF, COBIT, ITIL), cybersecurity (CISSP, CEH, CISO), and cutting-edge technologies including Big Data, Machine Learning, AI, Blockchain, and IoT. He has successfully conducted training workshops and facilitated sessions across Malaysia, Indonesia, Philippines, Thailand, Singapore, and throughout the Asia Pacific region, working with both large enterprises and SMEs. Tarun's teaching approach is characterized by high energy and a genuine passion for developing people at all organizational levels. His real-world experience working across various business functions—including HR, Finance, Operations, Sales, Risk Management, and Engineering—enables him to deliver practical, business-focused training that resonates with diverse audiences. He has served as a keynote speaker at prestigious conferences including Cloud South East Asia, Malaysian Institute of Management, and MDCA Data Center Conference, establishing himself as a thought leader in digital transformation, Industry 4.0, and emerging technologies. Academically, Tarun holds impressive credentials including an MSc in Information Systems and an MBA in Finance and Operations Management from Loyola University Chicago, where he graduated summa cum laude with Beta Gamma Sigma and Alpha Sigma Nu honors. He also possesses Bachelor's degrees in Biology, Math and Computer Science, and Business Administration. His professional certifications span Agile/Scrum training, Java and .NET development, Machine Learning/Deep Learning, InfoSec (CISO), and Business Intelligence, complemented by advanced programs in AI, Blockchain, and Entrepreneurship from MIT and Stanford. This unique combination of academic excellence, extensive industry experience, and diverse technical certifications positions Tarun as an exceptional trainer capable of delivering transformative learning experiences across the full spectrum of modern technology and business domains.

Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.