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I'm a NET Core developer to the bones. My co-workers always describe me as a having integrity, reliable person and I am able to create a trustful environment where candid feedback can flow freely.
I took the biggest step from the last job, where I was hired to review and audit the code and the technical solution of the product under development. My contribution to this project was pushing the product from an intentional state into something that created pleasure and happiness for nearly every stakeholder.
In addition, In my free time, I'm engaged in an open-source community. My contribution ranges from explaining, PR reviews, fixing bugs, and creating new features with the result of creating one of the most loved solutions in that space (or niche).
Website: https://linktr.ee/YoKulGuy
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I'm a realist, aspiring general system thinker, and software craftsman. Despite specialists giving much contribution and productivity to society, general system thinkers and their general system thinking can help us solve the second-order effect of human creation.
As a society, we build civilization; we build skyscrapers, aeroplanes, gadgets, and all the advancements in technology, but we overlooked the second-order effect of our creation. Global warming and gadget addictions are an example to name a few.
The more people adopt general system thinking, the more we can achieve a better society and brings our world to the next thousand years.
I do research and craft code as my way of expressing my idea and belief. I crafted a scientific computation tool and instrument to help researchers do better research when I was in college.
I'm currently leading a team in a startup called Mekari to empower businesses in Indonesia. I previously worked at Midtrans, enabling software developers to be more productive and better empower commerce through technology.
I write production code in Elm, JavaScript, Bash, Ruby, and Java. In 2020 I did functional programming on Elm and built a community around it. Feel free to reach out to me if you are an Elm user!
Application Developer in a wide variety of business applications. Particularly interested in server side technologies.
Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint).
Experience in interfacing different business application using middleware servers (BizTalk, SSIS).
Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig.
Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing.
Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.
6 years of experience in building and managing AI Systems.
* I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems.
* Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs.
* Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline.
* Provide mentoring to junior developers for ML projects.
Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor)
Summary:
I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well.
I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well.
I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects.
I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on.
Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
Working in the IT sector for more than 10 years.
With over 10 -years of freelancing and professional experience taught me all kinds of frameworks and languages, ranging from React, Angular, Vue, Node js, Express js, React Native, Redux, Rx JS, JavaScript, Typescript, WordPress, PHP, MySQL, MongoDB, Firebase, Sqlite, Postgresql, ES5+, Python3, Machine Learning, Deep Learning, RNN, CNN, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, R, Shiny, STATA, MATLAB, Google Sheet, App Script, Bubble io, etc.
Over my long career, I have come across all kinds of challenges and gained vast experience with different kinds of industries like portals, medical industry, perception exercise, employee management, etc.
I have good experience with frontend development using React JS along with Typescript, Firebase, GraphQL, React Native, Native Script, React, Material UI, Ionic, Node.js, Web Sockets, and real-time communication.
I have also worked on containerization technologies like Kubernetes, Docker, AWS, GCP, Azure etc.
I am very good with backend technologies as well like Java Spring boot, microservices, MySQL, Postgres, Elasticsearch, AWS/Google integration.
Please contact me to get the result done in a professional way.
See the power of our Docker & Kubernetes tutors through glowing user reviews that showcase their successful Docker & Kubernetes learning journeys. Don't miss out on top-notch Docker & Kubernetes training.
“I am thrilled to write a review for my React mentor, Vardan. Working with Vardan has been an incredible experience as I learn and develop features on a relatively large React, Vite, and TypeScript codebase.
Vardan is an excellent communicator and a very smart engineer. From our first interaction, he quickly understood the problem context and immediately added value. His ability to break down complex concepts into easily understandable components has been instrumental in accelerating my learning curve.
Beyond his technical prowess, Vardan’s approachability and willingness to help have made a significant difference in my development journey.
I highly recommend Vardan to anyone looking for a knowledgeable, patient, and effective mentor in the React ecosystem. His expertise and dedication are truly remarkable.“
Daniel Meas / Jun 2024
Vardan Hakobyan
Docker & Kubernetes tutor
“You can tell that Yuriy has a lot of experience and a deep understanding of web development. He is also incredibly friendly and a pleasure to communicate with. We will definitely consult him again in the future for our tech startup.“
Robert Van Ysendyck / Jun 2024
Yuriy Linnyk
Docker & Kubernetes tutor
“Joel is a really knowledgeable guy with a lot of interesting experience in the games industry. I got some great direction for my projects and was able to get a deeper understanding of what was required to work in the games industry. I can highly recommend Joel!“
Zeshan Rasul / Jun 2024
Joel Gompert
Docker & Kubernetes tutor
“Tyler helped me with the following points:
- understanding rust more and how to develop in a rust idiomatic way
- how to set up the correct project structure in rust
- he gave me some useful pointers on what to look into next and that the usage of dyn might not be necessary in some places
Thanks for the session and taking the time to explain things!“
Josef Seibl / Jun 2024
Tyler Green
Docker & Kubernetes tutor
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Frequently asked questions
Learning Docker & Kubernetes effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
Understand the basics: Start with the fundamentals of Docker & Kubernetes. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Docker & Kubernetes, laying a solid foundation for further growth.
Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
Seek expert guidance: Connect with experienced Docker & Kubernetes tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
Join online communities: Engage with other learners and professionals in Docker & Kubernetes through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Docker & Kubernetes skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Docker & Kubernetes in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Docker & Kubernetes is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
The time it takes to learn Docker & Kubernetes depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
Beginner level: If you are starting from scratch, getting comfortable with the basics of Docker & Kubernetes typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Docker & Kubernetes’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Docker & Kubernetes generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Docker & Kubernetes, contributing to major projects, and possibly specializing in specific areas within Docker & Kubernetes.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Docker & Kubernetes. Engaging with new developments, tools, and methodologies in Docker & Kubernetes is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
The cost of finding a Docker & Kubernetes tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
Tutor experience: Tutors with extensive experience or high demand skills in Docker & Kubernetes typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Docker & Kubernetes tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
Learning Docker & Kubernetes with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Docker & Kubernetes, but exceling in a way that directly aligns with your objectives.
Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Docker & Kubernetes can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
Career guidance: Tutors can also offer guidance on how to apply Docker & Kubernetes in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Docker & Kubernetes in a structured, supportive, and effective environment.
Personalized Docker & Kubernetes mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Docker & Kubernetes.