Hi, I'm Carlos Kidman ?? I’m currently solving Quality and Testing problems with AI at Qualiti ?? ?? I lead QA at the Point(QAP) , the Software Quality Community in Utah, USA ?? Former Engineering Manager at Adobe ?? Software Tester at heart ??? I do workshops and presentations all over the world! ?? How to reach me: LinkedIn , Twitter/X or carlos@qap.dev ? Fun fact: I play futsal every morning at 5:30 ? Presentations and Courses I've done hands-on workshops, courses, breakout sessions, keynotes, and more all over the world for the past 10 years. Here are some examples: ?? I will be keynoting at DevOpsDays SLC in 2024! Presentation: Testing Machine Learning Models at PyCon US (2022) Presentation: Future of Test Data Generation with AI at TestFlix (online 2022) Presentation: Devs should love your tests at Selenium Conference (London 2019) Course: Intro to Testing ML Models at Test Automation University Course: Scaling Tests with Docker at Test Automation University Guest: How to get automation included in your Definition of Done by Angie Jones at QAP Guest: Building AI Systems that work and understand those that fail by Ben Taylor at QAP Projects and Skills As you can imagine, with over a decade of very hands-on experience, I have worked deeply with many tools and technologies. I provide many examples below, but I didn't want to duplicate multiple icons like AWS even though I have used it in every group you'll see. There isn't a pretty icon for everything I use, like playwright and langchain , but this should give a good idea of what I know well. ?? I don't include anything that I don't know well enough, like React and GraphQL , even though I have written React before. Keeping myself honest ?? Code Python is my primary language since I mostly deal with data, automation, and AI. ?? Cloud and Orchestration AWS, and its services, have been the main "cloud" I've used throughout my career and I have worked with many databases. ?? Testing, Automation and Analysis I have worked with a vast amount of tools in this space for many types of testing: UI, API, Security, A11y, O11y, Performance, etc. ?? Machine Learning and AI Early in my journey, I had to build my own datasets and train models from scratch. However, the last year has shown how LLMs have made such a huge impact! I have built multiple features using closed-models, like OpenAI's GPT-4 , but I have also used open-sourced models from HuggingFace and even Mixtral! LangChain has been my main framework for creating the pipelines and switching models for each step LangSmith for observability LangServe for deployments I have built things using just Python as well, but LangChain is getting better and better! ?? Projects you can see You can see my 6 Pinned Projects below, but you can also see all the repos I've created for the QA at the Point (QAP) Community ! My latest project was the QAP Job Poster which scrapes jobs from different sources, filters and ranks them using AI, then posts them to the #jobs channel in our Slack group.
