From data engineering pipelines, AI models, to Salesforce AI solutions – let’s build it!

Generative AI

Generative AI can create new content, such as text, images, and music.

Predictive AI

Predictive AI uses machine learning to forecast future events or trends.

Data Engineering

Data engineering is about building data pipelines to transform data for AI.

Generative AI – Top 5 use cases

Content creation: Generative AI can be used to create a variety of content, including text, images, and music. This content can be used for marketing, social media, and other purposes.

Language translation: Generative AI can be used to translate text from one language to another. This can be useful for businesses that operate in multiple countries or for individuals who want to learn a new language.

Chatbots: Generative AI can be used to create chatbots that can interact with customers in a natural way. This can help businesses provide customer support, answer questions, and generate leads.

Image editing: Generative AI can be used to edit images, such as changing the background, removing objects, or adding filters. This can be useful for photographers, designers, and other creative professionals.

Data augmentation: Generative AI can be used to create synthetic data that can be used to train machine learning models. This can help improve the accuracy and performance of machine learning models.

Predictive AI – Top 5 use cases

Predicting customer behavior: Predictive AI can be used to identify customers who are at risk of churning, upselling opportunities, and personalizing marketing campaigns.

Fraud detection: Predictive AI can be used to identify fraudulent transactions, such as credit card fraud and insurance fraud.

Predictive maintenance: Predictive AI can be used to predict when equipment is likely to fail, so that maintenance can be scheduled before a breakdown occurs.

Risk assessment: Predictive AI can be used to assess the risk of an event occurring, such as the risk of a loan default or the risk of a natural disaster.

Targeted advertising: Predictive AI can be used to identify customers who are most likely to be interested in a particular product or service, so that advertising can be targeted more effectively.

Data Engineering – Top 5 tasks

Data ingestion: Extracting data from various sources, such as databases, log files, and sensors, and loading it into a data warehouse or data lake.

Data transformation: Cleaning, standardizing, and transforming data to make it suitable for analysis and modeling.

Data modeling: Designing and implementing data models that represent the relationships between different data elements.

Data analysis and reporting: Using data to identify trends, patterns, and insights, and presenting the results in a clear and concise manner.

Data pipeline management: Automating the processes of data ingestion, transformation, and analysis to ensure data is available and up-to-date for decision-making.

My Projects

thefluent.me – Web App and API

thefluent.me is an app and API to help second language speakers improve their fluency with instant pronunciation feedback using artificial intelligence. Technologies used: speech-to-text, text-to-speech, language detection, translation. 40 languages and 80 voices are supported.

Try it out for free, no sign up required: https://thefluent.me

About me

As a Google Cloud Technology Partners I empower customers by providing expert guidance, tailored solutions, and ongoing support. I leverage deep technical expertise and industry knowledge to help customers maximize the value of Google Cloud technologies, accelerate innovation, and achieve business goals.

As a Google Cloud Certified Machine Learning Engineer, I enable customers to harness the transformative power of AI. I guide customers through the complexities of machine learning, helping them build and deploy models that drive innovation, optimize operations, and enhance customer experiences.

As a Google Cloud Certified Data Engineer, I provide comprehensive solutions to customers seeking data-driven insights. My expertise empowers them to harness the power of cloud technologies, optimize data pipelines, and extract valuable information from complex datasets. I collaborate closely with clients to understand their business objectives and deliver tailored solutions that drive innovation and growth.

As a Senior Systems Business Analyst and Google Cloud Digital Leader, I empower customers to transform their businesses through innovative cloud solutions. I guide them on their digital journey, unlocking the full potential of cloud computing to drive growth, efficiency, and customer satisfaction.

As a Google Cloud AI/ML Champion Innovator, I empower customers to harness the transformative power of AI/ML. Through strategic guidance, technical expertise, and innovative solutions, I help organizations unlock new possibilities, optimize operations, and drive data-driven decision-making.

Salesforce Admins play a key operational role in a Salesforce system (an org). This can cover a wide range of activities. For example: supporting users, problem solving, org setup, user management, security, customizing, training, and creating reports & dashboards.

Salesforce AI Specialists are key to implementing and managing Einstein AI solutions, optimizing business processes with the help of advanced tools like Copilot Builder, Prompt Builder, and Model Builder.