April 2023– Google for Developers Blog Site

Published by Lyanne Alfaro, DevRel Program Supervisor, Google Designer Studio

Designer Journey is a month-to-month series to spotlight varied and international designers sharing relatable difficulties, chances, and wins in their journey. Each month, we will highlight designers worldwide, the Google tools they take advantage of, and the sort of items they are constructing.

This month, it’s our enjoyment to include 3 members from the Google Designer Specialists neighborhood. Enjoy reading through their entries listed below and watch on Google Designer neighborhoods’ social networks platforms, where we will likewise display their work.

Ruqiya Bin Safi

Headshot of Ruqiya Bin Safi smiling

Google Designer Specialist, Artificial Intelligence

Females Techmakers Ambassador

Jeddah, Saudi Arabia

Information Researcher



What Google tools have you utilized to construct?

I utilized TensorFlow, among the most commonly utilized tools for constructing artificial intelligence designs. It is utilized in a range of applications consisting of image acknowledgment, speech acknowledgment, and natural language processing.

Besides TensorFlow, I have actually utilized a number of cloud-based items for ML/AI advancement, such as Google’s Vertex AI This effective platform allows designers to speed up artificial intelligence advancement and release by offering a merged platform for information, AI, and tooling for both pre-trained and customized designs. With Vertex AI, designers can execute MLOps practices to effectively handle, keep an eye on, and govern their ML work. This consists of functions like automated design tuning, design management, and design serving.

Another helpful Google tool that I typically utilize is Google Colab, a cloud-based note pad that allows users to run and share Jupyter note pads with Python code, consisting of TensorFlow code.

Which tool has been your preferred to utilize? Why?

Among my preferred tools to utilize is Google Vertex AI. This platform supplies an end-to-end option for structure, releasing, and handling artificial intelligence designs. It uses an easy to use user interface for information processing, design training, and design release without needing comprehensive understanding of artificial intelligence.

Google Vertex AI likewise has a vast array of pre-built designs, such as image and speech acknowledgment, text category, and more – which can be utilized to start artificial intelligence tasks. The platform likewise permits personalization of these pre-built designs or the capability to develop your own designs. In addition, it supplies automated hyperparameter tuning, which assists to enhance design efficiency.

Another terrific function of Google Vertex AI is its scalability. It can deal with big datasets and can immediately scale resources up or down based upon need, making it perfect for companies with differing device discovering requirements.

In General, Google Vertex AI is an effective and easy to use tool that makes artificial intelligence available to a larger audience. Its mix of pre-built designs, personalization choices, automated hyperparameter tuning, and scalability make it an outstanding option for both newbies and advanced artificial intelligence specialists.

Inform us about something you have actually integrated in the past utilizing Google tools.

I teamed up with my group in the Smartathon competitors to establish an item detection design making use of 2 unique techniques: YOLOv3 Tensorflow, pre-trained on ImageNet dataset, and Google AutoML. Our main objective was to precisely determine and find different things within images. The Smartathon competitors particularly targets visual contamination on street images drawn from a moving lorry. The goal is to present a brand-new field of automated visual contamination category for ecological management utilizing innovative innovation.

On the other hand, individuals replicate human knowing experience by training and screening convolutional neural networks for image recognition and visual toxin category. The competitors intends to develop a “visual contamination index” for metropolitan locations, which might end up being a brand-new metric in metropolitan ecological management. The competitors dataset includes raw sensing unit video camera inputs caught by a fleet of numerous cars in a particular geographical location in KSA. We were encouraged to get involved and to have an influence on additional advancement in city preparation and to empower neighborhoods worldwide.

What recommendations would you offer somebody beginning in their designer journey?

  • Select a particular field or innovation that you have an interest in and concentrate on it. There are numerous locations of advancement to check out, so it is essential to determine your interests and invest your energy and time in establishing know-how because location.
  • Practice coding frequently. The more you practice, the much better you will end up being.
  • Sign Up With a designer neighborhood or participate in designer meetups. This can assist you gain from other designers, get feedback on your work, and remain current on the current patterns and innovations.
  • Check out documents and tutorials frequently. This will assist you remain current on the current patterns and innovations and keep your abilities sharp.
  • Do not hesitate to request for aid. Designers are a handy neighborhood, and there are lots of resources readily available online to assist you with any concerns or concerns you might experience.
  • Establish excellent coding practices early on. This consists of composing tidy and understandable code, discussing your code, and utilizing variation control.
  • Constantly want to find out and adjust. Innovation is continuously progressing, so it is essential to remain available to originalities and want to find out brand-new innovations and programs languages.
  • Bear in mind that ending up being an effective designer requires time and effort, however with determination, devotion, and an enthusiasm for coding, you can accomplish your objectives.

Antonio Leiva

Headshot of Antonio Leiva smiling

Google Designer Specialist, Kotlin and Android

Madrid, Spain

CEO @ DevExpert




What Google tools have you utilized to construct?

Android and all the AndroidX libraries. In specific, I utilize Jetpack Make up a lot nowadays.

Which tool has been your preferred to utilize? Why?

Jetpack Compose is among the tools that I’m committing the majority of my time to. As a fitness instructor, I think it’s the correct time to discover this innovation, and as a designer, I see it as a game-changer in regards to user interface production.

The advancement speed is considerably increased, and in my viewpoint, it’s a a lot more natural method to develop UI code. In addition, being cross-platform opens a world of possibilities that were formerly unthinkable.

Inform us about something you have actually integrated in the past utilizing Google tools.

I have actually developed lots of incredible applications while dealing with tasks for other business. The most tough one was Plex, where we dealt with a multimedia playback and individual brochure item. There, we dealt with lots of intricacies that are difficult to discover in normal applications.

Possibly the job I am most pleased with has actually been the production of my own mentor academy, DevExpert, where I assist other developers end up being professionals in Android innovations and the Kotlin language.

What recommendations would you offer somebody beginning in their designer journey?

Something that genuinely sparked my enthusiasm for my work and software application advancement was taking part in neighborhood occasions hosted by the similarity Google Designer Groups, where I found lots of gifted people who really enjoyed their everyday jobs.

This energy influenced me to enhance in my occupation and to develop material that would help others in comparable scenarios.

So my recommendations is to end up being associated with neighborhoods, participate in occasions, and commit time to assisting others follow the very same course.

Aurélie Vache

Headshot of Aurélie Vache smiling

Google Designer Specialist, Cloud innovations

Toulouse, France

DevRel, OVHCloud





What Google tools have you utilized to construct?

As a designer and information enthusiast, I utilize a number of Google items and I have actually been a Cloud lover for several years.

I have actually utilized:

  • Google Cloud Platform: BigQuery, GKE, Cloud Run, Cloud Functions, Anthos, Pub/Sub, Cloud Code, Cloud Build, Container Computer System Registry
  • Android Studio
  • Google Maps API
  • GWT

When it concerns structure, availability and AI likewise matter to me so I utilized Cloud Vision API, Cloud Text to Speech API, Cloud Speech to Text API & & Cloud Translation API.

I am working for OVHcloud, a European Cloud company, so I’m not utilizing Google Cloud innovations at the minute, however I continue to utilize a language that I like: Golang. It is among the languages utilized within OVHcloud to develop brand-new cloud company services.

Furthermore, for a number of years, I have actually been utilizing and sharing a lot about Kubernetes and Isio – 2 tasks produced and open-sourced by Google.

Which tool has been your preferred to utilize? Why?

I have 2 tools in my mind when I am thinking of Google.

The very first one is Google BigQuery. In my very first business, we required to examine information for our internal groups and our consumers, and the very first technical architecture that we had actually put in location was based upon the Hadoop community with a cluster under Cloudera of 10 hosted servers. The efficiency existed, however the time invested in upkeep and operations was high.

When BigQuery was fully grown sufficient and fulfilled our requirements on paper, we chose to check this brand-new Google innovation and move our items. We have actually invested years producing tools connected to BigQuery, personalizing and tweak inquiries, keeping an eye on advancements, and keeping items.

Another tool that I like is Kubernetes. It is a container orchestrator produced and open-sourced by Google that I found and utilized a lot at a previous task. Ever since, I have actually utilized this tool typically in production. I offered a number of talks at conferences on it, released lots of article, and utilized sketchnotes to describe this innovation in a visual method.

Now, I deal with the OVHcloud groups who develop and keep handled Kubernetes clusters. It’s an enjoyment to test, offer feedback, aid on the UX and DX of the options, compose posts, tutorials, speak with users, and simply keep working daily with Kubernetes.

Inform us about something you have actually integrated in the past utilizing Google tools.

In my very first business, I co-created small amounts and neighborhood management tools. Initially, there was an application that centralizes all conversational material streams in genuine time, no matter the social media, site, or blog site. This application, made in Java and Google Web Toolkit, is still utilized by groups of mediators, neighborhood supervisors, watchers, and managers who can moderate, categorize, and use a tone to the material of the messages.

After connecting this tool to Google BigQuery to save information in genuine time, it was possible to do a lot more. We might moderate material in post, create consumer reports, and control panels for groups.

What recommendations would you offer somebody beginning in their designer journey?

Find out every day. We are fortunate to do a task that enables us to find out every day. You deserve to make errors and to gain from those errors correctly.

There are lots of terrific neighborhoods through which you might participate in discussions. Talk with other designers and after that do not hesitate to share from your end also.

Another thing: Trust yourself. Do not attempt to copy others. Be yourself. Stay yourself. Believe in yourself, in your concepts, and in your capabilities.

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