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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, Android Java/Kotlin, iOS Swift/SwiftUI, C/C#/C++, .Net, Assembly, VBA, VB, Excel Macro, Java, Spring Boot Micro-services, Zoho, Salesforce, Hubspot, 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.
* Experienced Software Engineer with 7+ years of experience in designing and developing highly scalable software products for enterprise ecosystems.
* Proficient in **AWS** and **GCP**, leveraging services like AWS Lambda, API Gateway, and Kubernetes for deployment and orchestration.
* Designed systems with event-driven architecture.
* Supporting various web applications built in React and Angular. Equally capable of leading teams and delivering directly, Laleet has worked with hundreds of developers from different organizations to solve their technical problems and bugs. He learns fast, communicates well, welcomes challenges, and has excellent debugging skills.
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).
I am a **Multi-talented** professional adept in **Full Stack Web Development**, **Web Security Research**, and **Robotics Engineering**. As a dedicated Web Security Researcher and ethical hacker, I uncover vulnerabilities and mitigate security risks, bridging the gap between development and cybersecurity. Additionally, as a Robotics Engineer, I design and build sophisticated robotic systems, applying my deep understanding of mechanics, electronics, and programming. Passionate about crafting clean, scalable code and innovative robotics solutions, I contribute to projects that prioritize both robust development, cybersecurity practices, and cutting-edge robotic technology.
Senior Software Development engineer in "Bristlecone" for the development of 3pdc telemetry and ascii-minesweeper project under the supply chain partnership of Bristlecone and Google.
https://www.bristlecone.com/bristlecone-joins-google-cloud-partner-advantage-program/
Prior to this, I have worked as a developer with MNC's- Adobe and Newgen and startups- Moveinsync and Zillious solutions.
Skills -
Advanced - java, mysql, postgres, spring, hibernate, spring-boot, Maven/Gradle, microservices, multithreading and concurrency-control, web services(SOAP-based and RESTful), RPC, git, google-cloud-platform(GCP), database modeling, designing db schema, SQL, stored-procedure/function, triggers, docker, kubernetes.
Intermediate - typescript, python, angular, react, API gateway, service-discovery, load balancer, ELK stack, kafka, rabbitMQ, redis cache.
Good understanding of scalable system, backend architecture along with strong hold on Data Structure and Algorithms.
# I'm here to help solve your technical problems to the best of my abilities.
# Get your first session for free ! free ! free ! (t&c applied - convince me you deserve it during our requirement gathering call.....)
# If you are not satisfied with my help, get instance refund !!!
Hello everyone, I have been working in the CS industry for ~10 years. I have mainly been working on back-end and research oriented projects involving image processing. If you are looking for understanding how computers work at a deep level (as far as assembly), or want to know how big tech companies (such as Amazon) scale their projects, then I have knowledge to share with you!
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.
“Andrew answered my call and after the first 30 minutes, I immediately got a great feeling from him. I am excited to call him my mentor and look forward to more awesomeness from him in the future.“
Bekim Disha / Aug 2024
Andrew Kew
Docker & Kubernetes tutor
“I had a really good session with Silvia, it was very informative and well prepared. Silvia was able to reply to all my questions and doubts in a clear and structured manner. Even though computer vision is not the easiest topic in computer science, she made it simple and understandable. I highly recommend Silvia to anyone willing to learn about computer vision and deep learning.“
Antoni G. / Feb 2025
Silvia Magrelli
Docker & Kubernetes tutor
“I had a great introductory session on FAANG interview preparation and Leetcode problem-solving strategies. Silvia provided clear explanations of the interview structure and outlined a strategic plan for mastering key algorithmic patterns and problem-solving approaches, including advanced deep learning and system design use cases. We discussed an effective study roadmap and worked through an example problem related to lung disease analysis, exploring potential applications of CLIPS and diffusion models. The session was interactive, well-structured, and tailored to my needs. Looking forward to more sessions“
Andrea Martini / Feb 2025
Silvia Magrelli
Docker & Kubernetes tutor
“Scott has both the depth & expertise in C++, Mathematics, Prolog, and other quantitative, technical, domains.
More than that though, he imbues a high degree of professionalism, maintains a cordial, friendly demeanor, and has proven he is resilient to the core.
He helped mentor me on an extremely complex problem, without context, in a pairing "marathon" session that spanned a few hours.
The combination of the aforementioned traits make him a gem, as a mentor, engineer, and eloquent teacher.
I would highly recommend him if you'd like to go from zero to hero, learning from someone who knows their stuff, and will go the extra mile for your personal growth, a true partnership to success.
Thanks and best,
Charles“
Charles Sgro / Feb 2025
Scott Myran
Docker & Kubernetes tutor
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Frequently asked questions
How to learn Docker & Kubernetes?
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.
How long does it take to learn Docker & Kubernetes?
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.
How much does it cost to find a Docker & Kubernetes tutor on Codementor?
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.
What are the benefits of learning Docker & Kubernetes with a dedicated tutor?
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.
How does personalized Docker & Kubernetes mentoring differ from traditional classroom learning?
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.