A Glimpse into Wildan Putra’s Success as a Senior ML Engineer in Singapore

In this series, we’ll put the spotlight on Devoteam G Cloud’s experts who are always at the forefront of driving progress in the exciting and rapidly evolving Google Cloud world. In this article, we will delve into Wildan’s role at Devoteam G Cloud Singapore and his thoughts on the Power of the ‘just do it mentality’. Get ready to be inspired by Wildan and the impact he is making on our customers.

Hey there! Let me introduce myself and take you on an exciting journey into the world of cutting-edge technology. I’m Wildan, a Senior Machine Learning Engineer Consultant, and I’m also the Local Lead of ML Tribes. Quite long title indeed, but my role isn’t just a fancy title—it’s a thrilling mix of technical expertise and leadership responsibilities that keep me on my toes every single day.

Imagine starting out as a junior data engineer, diving headfirst into a variety of captivating projects all centered around the fascinating world of machine learning. I’ve had the incredible opportunity to work on projects like fraud detection, defect identification, and even delving into the exciting realm of video analytics. Each experience has only fueled my passion for this rapidly evolving field.

As I progressed in my career, I reached the esteemed position of a senior machine learning engineer. This means I get to tackle complex business problems and come up with innovative solutions. But you know what truly sets my job apart? It’s the chance to collaborate with an exceptional team, engaging in dynamic brainstorming sessions where creativity knows no bounds. We face new challenges every day, pushing us to think outside the box and make a real impact.

So get ready for an exhilarating journey with me, where we’ll explore the incredible world of machine learning innovation together. Let’s dive in!

Mastering the ML Engineer’s Challenge: Overcoming Obstacles with Tenacity and Innovation

In the dynamic world of machine learning engineering, I face several challenges that demand innovative solutions such as

• Communicating with non-technical stakeholders. Often, I am working with clients who do not have a strong understanding of machine learning. This can make it difficult to explain complex concepts and get buy-in on projects. To overcome this challenge, I try to use clear and concise language, and I provide visual aids whenever possible. I also make sure to listen carefully to the client’s needs and concerns, and I tailor my recommendations accordingly.
• Working with limited data. In many cases, I am working with clients who do not have a lot of data to train machine learning models. This can make it difficult to get accurate results. To overcome this challenge, I try to use data augmentation techniques to increase the size and diversity of the dataset. I also work with the client to identify and collect additional data sources.
• Keeping up with the latest trends. The field of machine learning is constantly evolving, and it can be difficult to keep up with the latest trends. To overcome this challenge, I make sure to read industry publications and attend conferences. I also network with other ML engineers to stay up-to-date on the latest developments.

By conquering these challenges head-on, I continuously strive to deliver exceptional results as a machine learning engineer. The satisfaction of finding innovative ways to communicate complex concepts, leveraging limited data to achieve accurate outcomes, and staying ahead of the curve fuels my passion and drives me towards excellence in this ever-evolving domain.

Unveiling the Dynamic World of Cutting-Edge Technology

As an ML Engineer, my day typically consists of:

• Understanding business needs: I work with stakeholders to understand the business problems that they are trying to solve with machine learning.
• Gathering data: I collect and prepare data that can be used to train machine learning models.
• Building, training, and deploying models: I use machine learning algorithms to build, train, and deploy models that can solve the business problems that I have been tasked with.
• Learning about new machine learning techniques: The field of machine learning is constantly evolving, so it is important for me to stay up-to-date on the latest trends.
• Collaborating with other engineers: I often work with other engineers, such as software engineers and data engineers, to build and deploy machine learning solutions.
• Writing documentation: I write documentation to explain how my machine learning models work and how they can be used.

Overall, my job as an ML Engineer is to use my knowledge of machine learning to solve business problems. I enjoy the challenge of working with data to build models that can make a real impact on the world.

My job in 1 sentence?

As a senior machine learning engineer consultant, I design, develop, and deploy machine learning models to solve business problems.

Uniting Passion and Talent in the ML Tribe Team

I would describe my ML Tribe team as a group of passionate and talented individuals who are committed to making a difference in the world through machine learning. We are a diverse group of people from all walks of life, but we are united by our shared passion for ML and our desire to use it to solve real-world problems.

We move together by collaborating closely and sharing our knowledge and expertise. We are always learning from each other, and we are always looking for new ways to improve our skills and knowledge. We are also committed to giving back to the ML community, and we regularly contribute to open source projects and share our knowledge with others.

Wildan’s proudest moment as a G Clouder

One unforgettable achievement during my tenure as a G Clouder stands out—the development of a groundbreaking fatigue detection model. This extraordinary project allowed me to create a cutting-edge algorithm that accurately predicts driver fatigue. Its implementation in their daily operations has the potential to prevent countless accidents, making roads safer for everyone.

The immense pride I felt upon completing this project was immeasurable. Knowing that my work was actively making a tangible difference in the world was a profoundly rewarding experience. It reinforced my belief in the vital role of machine learning engineers in addressing real-world challenges. With this project, I had the privilege of utilising my skills to tackle a pressing problem and contribute to a safer future.