More About Tutu Rulianda

With over two decades of diversified experience in software engineering, network engineering, and machine learning, I bring a wealth of knowledge and a proven track record of innovation and excellence. My journey has been marked by significant milestones and continuous adaptation to the ever-evolving landscape of technology.

Software Engineering

My career in software engineering began in January 1996, grounded in the principles of the Software Engineering Body of Knowledge (SWEBOK). Early on, I honed my skills with PowerBuilder, a robust development environment that laid the foundation for my future endeavors. My expertise expanded over the years to include modern databases like MySQL (since 2008) and PostgreSQL (since 2018), where I leveraged these technologies to build scalable, efficient, and reliable database systems. In recent years, my focus has shifted towards NoSQL databases, with MongoDB becoming a key part of my toolkit since 2018.

As the software development landscape evolved, so did my programming repertoire. Since 2018, I have been deeply involved in Python, NodeJS, and JavaScript development. These languages have empowered me to develop dynamic, high-performance applications and have been instrumental in numerous successful projects.

Network Engineering

My foray into network engineering commenced in April 2000, with a deep dive into the OSI model, which has been the backbone of my understanding of network protocols and communication. The transition to web-based security became a natural progression, where I started focusing on web-based firewalls in 2018, ensuring robust defense mechanisms for web applications.

Security has always been a critical aspect of my work. Since 2018, I have been an advocate and practitioner of the OWASP guidelines, implementing best practices to safeguard applications against a myriad of vulnerabilities. Recently, I have embraced the advanced unified XDR (Extended Detection and Response) and SIEMS (Security Information and Event Management) solutions using Wazuh (starting in 2024), providing comprehensive security analytics and operations.

Machine Learning

The exciting field of machine learning became a significant part of my professional portfolio in October 2018. My journey in this domain started with the adoption of Python, NodeJS, and JavaScript for developing intelligent applications. OpenCV has been a cornerstone of my work in face biometrics since 2023, enabling sophisticated image processing and facial recognition capabilities.

Moreover, I have been utilizing TensorFlow since 2023 to create and deploy machine learning models that solve complex problems and drive innovative solutions. These technologies have allowed me to deliver cutting-edge machine learning solutions that are both impactful and transformative.

Conclusion

Throughout my career, I have consistently demonstrated a commitment to learning and adapting to new technologies. My extensive experience in software and network engineering, coupled with a strong foundation in machine learning, positions me as a versatile and forward-thinking professional. I am passionate about leveraging my skills to drive technological advancements and deliver solutions that make a difference.