September 22-23, 2020
We add a learning dimension to our annual Techsylvania experience by inviting experts from leading companies to host technical workshops.
Techsylvania 2020 is going back to tech, with a series of workshops dedicated to engineers and their skill-set enhancement. During the two days, you can select from 10 workshop sessions featuring a wide array of topics, focused only on cutting-edge areas of technology.
Accessible only for ticket holders
Capacity of up to 100 people/ session
Addressing hot issues of the 21st-century
Get your Early Bird ticket
Senior Software Developer at Macadamian
Senior Computer Engineer at Bosch Engineering Centre
Previous workshop topics
Deep Learning for Automated Driving
Adverse Media Threat Intelligence using Machine Learning
Exploring GraphQL with React and Node.js
Cryptocurrencies and ICOs Based Funding
Building Image Classification Models for Medical Diagnostic
Product Management Best Practices
Start Your BigData Experience Today with Apache Spark
End to end machine learning on Google Cloud Platform
Abdul Haseeb – Customer Engineer
In this workshop, we will cover starting, experimenting, serving and scaling a machine learning solution. We will take a representative problem and cover the following phases of machine learning:
Data Analysis/Inspection: We will perform data analysis (cover few key strategies of data analysis prior to machine learning)
Feature engineering: We will uncover a few techniques of feature engineering, learning of the previous step and approaches for feature engineering that will help you improve data quality prior to kicking off machine learning.
Representative model selection: In this phase we will summarize model selection criteria and select a couple of models suitable to our problem.
Training, Serving and Scaling in Cloud: In this phase we will uncover model evaluation metrics, understand serving skew and ability to scale both training and serving of Machine learning solutions.
Fitbit Health Apps for the digital age
Bogdan Purcareata, Staff Firmware Engineer & Alexandru Popa, Senior Software Engineer
In this workshop, we’ll be covering how Fitbit Development SDK works and what tools we offer as part of our complete developer environment. We’ll focus on how the SDK allows us to research and market health solutions and we’ll deep dive with a case study of one of the health apps that we offer to our user
Microservices vs. serverless
Tudor Ghiorghiu, Senior Software Developer
The current landscape contains a large variety of architectures ranging from monoliths, to service-oriented, to microservices to serverless architectures. When creating a new fintech product, a developer needs to figure out a solution design that will fit all requirements. At the same time we need to check all the boxes for characteristics like: future-proof, stability, security, cost, easy CI/CD integration, etc. Decades worth of challenges pushed systems architects to seek advantages over all these different solutions and we’re going to take a look at two of the currently most discussed solutions.