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Vetted Kubernetes developer in Australia (UTC+11)
Machine Learning and Cloud DevOps Engineer | TensorFlow, Python, Kubernetes & AWS Certified | Ex-Microsoft * Machine Learning (ML) engineer for an AI start up for over 6 months. * Cloud DevOps engineer for enterprise cloud transformation projects for over 4 years in Australia. ü Over 4 years of experience in automated provisioning of Kubernetes in cloud platforms like Google Kubernetes Engine (GKE), AWS Elastic Kubernetes Service (EKS) and Azure Kubernetes Service (AKS). * Key skills in TensorFlow, Python, Terraform, Helm Charts, Docker, Golang, GitHub workflows, Kubeflow, Flux CD, Shell scripting, Google Cloud Platform (GCP), Amazon Web Service (AWS) and Microsoft Azure. * Past 18+ years of experience in software industry with Cloud experience dating back to 2012. Coming from 14 years of dev experience in Microsoft technology stack. * Past skills in Azure DevOps, ARM Templates, PowerShell Core and C# .NET Core. Linked In profile: https://www.linkedin.com/in/ankursoniji/
Vetted Kubernetes developer in Australia (UTC+10)
It's one thing to be good at programming, it's another thing to understand the big picture, what the product-owner wants and how to go about implementing specifications that meet business goals. This is where I thrive. I make certain that the best tool for the job is used, rather than the most convenient one and I take great care to ensure that the tools I use are as future proof as is possible. Programming with these things in mind really makes a project and is one of the reasons I love this industry. Planning, problem solving and creating amazing things that work beautifully feel like an artform to me and it's what gets me out of bed in the morning. I ofter to clients years of experience helping businesses realise their technical goals, and making their technical journeys as painless as possible. To my future mentee's reading this: my passion for coding and seeing people grow is why you can count on me to be your biggest advocate. My journey teaching myself to code is how you know I can teach you to think critically and with business goals in mind. To my future pair programming buddies: I'm very excited to work with you and learn from eachother as we solve problems together and implement some awesome solutions.
Vetted Kubernetes developer in Australia (UTC+11)
I am a talented Software Engineer with additional experience as a Test Analyst and DevOps Engineer. I currently work on deploying to k8s clusters using Helm, managing Azure infrastructure using Terraform and develop automation using Python, TypeScript and bash shell scripts in GitLab pipelines. My capabilities also cover code review of Go services and test automation using Java frameworks
Vetted Kubernetes developer in Australia (UTC+10)
DevOps Engineer in Australia with 6+years’ experience, specialized in DevOps practices with automating cloud deployments in environments, management tools, platforms, server source container infrastructure multi cloud configuration virtualization technologies, migration, control administration, monitoring and CI/CD pipelines include building and supporting web SaaS solutions based on Linux/Unix platforms seeking for a remote job in DevOps/Cloud space.
Vetted Kubernetes developer in Australia (UTC+10)
Experienced software developer with a demonstrated history of working in the information technology and services industry. Skilled in Javacript (and some of its libraries like NodeJS, ReactJS), PHP, Mysql and PosgreSQL, Kubernetes, Docker, Git, CI/CD, Agile Methodologies, and Software Development Life Cycle (SDLC). Has a Bachelor Degree in IT from Queensland University of Technology.
Vetted Kubernetes developer in Australia (UTC+10)
I love to solve complex problems with simple solutions. I grew the most with Codafication, from fresh out of university junior software engineer to senior software engineer. I got chances to learn from other experienced engineers and today I'm leading a team and providing training to new developers. The main product at Codafication is Crunchwork, a project management platform which has many applications such as quotes, invoices, reports, workflow automation, video streaming and integrations to enterprise systems. I got involved in building the foundation of the platform and then built several modules from scratch. Some of my works were presented at tech events such as DIA Munich and Stone & Chalk where we got awards. I also worked as a contractor for a London based start-up. I worked closely with the founders to build a note taking & cloud storage app https://peony.ink/ from scratch which then secured multi-millions dollars funding. My strengths are great technical knowledge, being patient and able to calmly work under pressure, being helpful and good at teaching/training and being able to quickly adapt new technologies. I have been voted as Employee of the month by other colleagues a couple of times at Codafication.
Vetted Kubernetes developer in Australia (UTC+11)
I am a seasoned senior software engineer with a rich and diverse background spanning 15 years. My expertise lies in a variety of technologies, with a primary focus on WordPress Development, React, TypeScript, NodeJS, Docker, GoLang, GraphQL, Kafka, and Event Driven Systems. My proficiency extends to crafting custom WordPress themes, plugins, and blocks, and I am well-versed in both the Classic Editor and the Gutenberg Block Editor. Additionally, I bring a robust understanding of database management, with hands-on experience in MySQL and PostgreSQL.
Vetted Kubernetes developer in Australia (UTC+11)
As data is the engine of every business, I took my data science course and loved to interpret the data, exploit the information from it and apply various machine learning algorithms and predict the future results. I am motivated, fascinated in understanding the meaningful insights of data and actively seeking for the full-time opportunities in the data science stream and always owed with “Can Do Spirit”. **TECHNICAL SKILLS Programming Languages:** Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Java, node.js Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering Web Technologies: HTML, Java Script, CSS, Bootstrap, WordPress Databases: SQL, Postgre SQL, Oracle, MongoDB Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL (AlteryX) Operating Systems: Windows, Linux(Ubuntu), Unix Management Tools: Microsoft Office, Integrity, Kubernetes, Docker, Git (For repositories), Stack, Jira, Confluence Cloud Services: Amazon Web Services (AWS), Azure (Kubernetes), DevOps In order to know some meaningful insights of data, how the data is revolving around the whole world and how it has impacted on the people is what made me keen to do my masters in "Data Science" at "Monash University". When I was doing this course, my passion for data science has grown still to a greater extent when my professor started to teach how based on the information gain, entropy "Decision Trees" algorithm has been designed and also through "Associative Learning" algorithms. How every activity associated with **machine learning (or) artificial intelligence i**s being related to one hidden accurate, appropriate algorithm inside it, made my learning and practical interlinking of my course subjects to the real-time world in a better way. 💡Deep understanding of network protocols (TCP/IP, UDP, DNS, DHCP, SDN), Troubleshooting. 💡Programming Languages: Python (Pandas, NumPy, Matplotlib, Sklearn, OpenCV, PIL), R, Pyspark, C, Ada95, node.js 💡Data Science: Data Wrangling, Data Modelling, Data Visualization, Applied Data Analysis, Agile Methodology 💡Machine Learning Algorithms: Classification, Clustering, Regression, Association Rules and Collaborative Filtering 💡Web Technologies: Apache Tomcat, HTML, Java Script, CSS, Bootstrap, WordPress 💡Databases: SQL, Oracle, MongoDB 💡Tools: CUTE (Component Under Test Explorer), Tableau, Power BI, ETL 💡Operating Systems: Windows, Linux(Ubuntu), Unix 💡Management Tools: Microsoft Office, Integrity, Kubernetes, Docker 💡Cloud Services: Amazon Web Services (AWS), Azure
Vetted Kubernetes developer in Australia (UTC+11)
I'm a Machine Learning Engineer with 5+ years of experience in developing ML-based software for video surveillance cameras. I enjoy implementing research ideas and incorporating them into practical applications. I advocate for highly readable and self-contained code. I love reading about designing scalable ML systems, developing novel ML models & techniques, and releasing models to production. In my free time, I work with clients globally for their content requirements in AI/ML domain. Technical Skills: ⇨ Data Science: Machine Learning, Statistics, Computer Vision, Natural Language Processing, Deep Learning, ⇨ Data Tools: PyTorch, Spark, TensorFlow, Python Notebooks, Graphlab. ⇨ Languages: Python, C++, SQL. ⇨ Database Systems: MySQL, PostgreSQL. ⇨ Technologies: AWS, Docker, Azure DevOps, Unit Testing, Git, Bash.
Kubernetes developer in Australia (UTC+10)
Experienced full-stack software engineer specializing in Ruby on Rails, looking to see what's out there!
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