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AEA Minnesota Chapter Event

Architecting Applications for the Cloud AEA Chapter meeting and community program

When: Friday, July 19th 8:30 am - 12:00 Noon
8:30 AM
Where: Agosto
420 North 5th Street #400
Minneapolis, Minnesota  55401
United States
Contact: AEA Minnesota Chapter

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Event Announcement: Architecting Applications for the Cloud - Chapter meeting and community program, Friday, July 19, 2019.

Architecting Applications for the Cloud

Chapter meeting and community program

Friday, July 19, 2019
8:30 am - Noon


420 North 5th Street #400
Minneapolis, MN 55401


Registration is required: Register Here

  • $10 in advance - lunch not included
    *Sales end 7:00pm Thursday, July 18*
  • $25 in advance including a box lunch 
    *Sales end 7:00pm Wednesday, July 17*
  • $15 at the door

At our July event we will have two speakers who will guide us in the principles of architecting applications for the cloud

Paul Lundberg - Architecting a Modern SaaS Product

Paul Lundberg is Chief Technology Officer at Agosto. Paul has more than 25 years of experience building technical teams in application software, product development, and systems integration. He is charged with executing the strategic vision of all product development and intellectual property at Agosto and Skykit. Paul oversees Agosto’s cloud product development consultancy, leading the largest Google Cloud Platform (GCP) software development team in North America. With his oversight the group built software to facilitate a device deployment and provisioning process for a global retailer with 9,000 stores in North America. The project and platform informed and inspired the product that would become Skykit.

Paul holds a bachelor’s degree in computer science and business administration from Minnesota State University, Mankato. He enjoys cycling, mountain climbing and ice hockey.


The adoption of microservices, containerization, and public cloud are all heavily influencing the architecture of modern and scalable cloud based solutions and SaaS products. With a microservices architecture, your team can build and evolve a complex product with each service deployed independently using different programming languages or cloud services. Deploying your microservices using containers offers both portability and scalability. Leveraging the capabilities and services of a public cloud with effective DevOps practices will enable continuous deployment, integration, testing and monitoring. In this session, we will discuss and examine all of these topics by reviewing and discussing how an actual SaaS product architecture evolved. And of course, we’ll also discuss some lessons learned.

Senthil Kumaran - AI Practice with Software Architecture Principles

Senthil Kumaran is CIO at Virtuwell, a HealthPartners company. He is a pragmatic leader, architect, designer and developer in Web and Mobile technology in developing Internet, e-commerce, and multi tier client server applications including healthcare, highly secure financial applications, manufacturing, retail, and consumer websites. He is part of HealthPartners AI and Machine Learning and Enterprise architecture group and a key contributor to the HIPPA/HITEC security and a conference presenter on Predictive Data Analytics, Rules and Web/Mobile initiatives. He is passionate about investing in both stocks and real estate and spends a lot of time analyzing cricket matches around the world. He received his MBA from St Thomas University, Minneapolis and Masters in Applied Electronics Engineering and Bachelors in Electronics and Communication Engineering from a leading university in India


Machine learning (ML) has achieved considerable successes in recent years and many companies have started using it in Production. Every company wants to get in this bandwagon to stay competitive and is challenged to choose the right technology, recruit and retain data science engineers. The biggest hurdle is to integrate them in to the business. This talk will start from a strategic direction that we took at virtuwell to solve the patient flow prediction to figure out how many Providers we need in a given shift. There are several algorithms to choose from and multiple tools to play with and most companies forget build a framework to bring agile practice in to model deployment.

The biggest challenge is how to get your data analysts and software engineers to work in an agile fashion to pre-process data, create models, modify key data sets and deploy them to production and continuously optimize it. We will discuss how we leveraged Automated Machine Learning to accelerate research on Machine Learning on building predictive models. We will see how our journey started with simple MatLab experiment that took us to scikit learn logistic regression to RapidMiner to H20. We will share what key lessons that Virtuwell learnt on designing software architecture , choosing algorithms, Models and features and tools including AutoML. Virtuwell is 24/7 online clinic that helps customers get treatment plans for everyday illnesses and has increased its user base multi fold year over year for the past 9 years. Lastly, he will dive into why monitoring and relearning is critical for model deployments.


8:30 - 9:00    Networking & refreshments
9:00 - 9:15    Introduction, chapter business
9:15 - 10:15    Paul Lundberg - Architecting a Modern SaaS Product
10:15 - 10:30    Break
10:30 - 11:30    Senthil Kumaran -TBD
11:30 - 12:30    Q & A
Optional Lunch

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