Michael Mendy
Software Engineer | DevOps | CI/CD | NIST | michaelamendy.com
- Role
- Ai Integrations at Travis Ci
- Location
- Palo Alto, CA, US
- LinkedIn followers
- 500 followers
About Michael Mendy
Watch my keynotes (and technical demos) speaking in front of virtual and in-person crowds at Arm DevSummit 2020, Arm DevSummit 2021, Arm \"Meet the Software Developers,\" Android Droidcon 2020, Android Droidcon 2022, IBM Z Day 2021 and LeadDev Live 2021.I thrive in fast-paced environments, solving high-impact problems with brilliant people, and am always hungry for the next challenge I can solve with my mastery of software and technology. Linux is an absolute passion of mine, and I\'ve been involved in the Linux community since I was 14 years old, and I\'ve become an expert in many of their front and backend processes. This includes mastering helpful and efficient commands at an expert level, and - yes, I\'ve installed Gentoo. I\'m also highly proficient in web application development, leveraging all modern frameworks and languages - mainly React and Ruby on Rails to find the most robust, efficient, and scalable solution for what I\'m trying to build. Likewise, my effortless understanding of Git and Perforce fundamentals, practices, and methodologies has been crucial to the success of every project that I\'ve worked on. In my 12+ years, I\'ve deployed and managed highly available server systems worldwide, from small office deployments to large-scale multi-site data center deployments - through all stack layers from networking up to application level. I have a specific aptitude also in large-scale systems deployment and automation using various application storage solutions and have either found or created many work processes to achieve this. With that said, my specialties are overwhelmingly DevOps-centric. My intimacy with CI/CD pipelines comes with extensive knowledge via knowledge of YAML, Perforce, the help of building Travis CI and using declarative tools like Argo for branched Kubernetes instructions, including Docker and OpenShift. Endless experience with Docker and other software infrastructure technologies has given me insight into how to quickly diagnose and troubleshoot deployment pipeline issues for projects of all sizes.Backend Management: Splunk, Grafana, DataDog (SLO Burn Rates), Palo Alto Networks, Bugsnag, and CrowdStrike for endpoint protection while regularly extracting enriched EDR data sets to support compliance, long-term archival, or integration with third-party analytics engines and data lakes.I\'m a Foundation Member over at OpenStack. 2009 Thesis: Classification of Pictorial Data Compression using Run Length Encoding.(Ask for a PDF.)m••••••@linux.com
Experience
Ai Integrations
Jan 2024 — Present · San Francisco, CA, US
Spearheading some of the efforts to integrate advanced AI capabilities into the Travis CI ecosystem. This involves leveraging my expertise in MLOps and LLMOps to implement innovations like Natural Language Processing for configuration files, real-time syntax checking during.travis.yml editing, and a customized AI model tailored specifically for Travis CI. I\'m also working on live auto-assistance tools that will enhance the real-time editing experience, making our already simple YAML format even more efficient. We are saving the trained classifier model using Pickle for easy deployment and integration. With these AI capabilities, I am helping Travis CI stay at the forefront of applying AI to improve the developer experience with CI/CD workflows using the Travis CI platform.Currently working on Travis Quickstart from May 2024 and will be working on it until August 2024. You can define your build with building blocks it offers, or with the help of AI you can get a.travis.yml fixed, or it can give you a helping hand. Authored by Michael Mendy for Travis CI, GmbH - 2024.I list some of these experiences on ORCiD:
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