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Doug Gale
Linux Kernel tutor
US$20.00 /15 minStarted programming at age 12 in 1988 on a Commodore VIC-20. Extremely adept at debugging of all kinds, performance optimization, databases, embedded systems, operating systems, networking, testing and automation across a wide variety of languages, APIs and frameworks, high level as React/Typescript and as low level as knowing several CPUs assembly languages and designing microcontroller PCBs. It is way too much to just enumerate. Formerly worked at Microsoft in Windows Protocols and Engines team.
- Linux
- Kernel
- JavaScript
- C++
- PHP
- GCC
- C#
- Debugging
- WinAPI
- CMake
- Win32
- Assembly
- X86 64
- x86
- Microcontroller
- Performance Testing
- Operating Systems
- Python
- SQL
- AWS
- RESTful API
- Auth
- Qt 5
- Performance Optimization
- Async.js
- Separation of concerns
- Modularity
- Csrf
- Google Chrome DevTools
- Cross-Site Scripting
- Unit Testing
- Node.js
- RequireJS
- jQuery UI
- AJAX
- HTML/CSS
- jQuery
- Security software
- Windows Application
- Makefile
- LINQ
- ASP.NET
- Concurrent Programming
- Os development
- Fuzzing
- Data analysis
- Automation
- Reporting
- Continuous Integration
- Callgrind
- Valgrind
- Embedded Systems
- Raspberry Pi
- Arduino
- C
- Pic
- AVR
- Systems Programming
- Simd
- Ieee
- Floating point
- Ieee 754
- Calling conventions
- Code Generation
- Ms assembly
- Scheduling
- GDB
- Virtualization
- Remote Debugging
- WinDbg
- Unicode
- API
- GUI
- Generics
- WinForms
- Compiler Construction
- Tooling
- Visual Studio
- Qt Creator
- Prepared statement
- phpMyAdmin
- Database
- MySQL
- Qt
- Qt4
- Atomic
- C++11
Kirill Erokhin
Linux Kernel tutor
US$25.00 /15 minI teach Operating Systems to CS students and guide fellow professionals through legacy codebase maintenance, practical software architecture, and new language/framework learning skills. For students, I offer two types of sessions - one is a lecture-style session where I can go over course notes/slides on a particular topics and offer additional explanations and examples to improve your understanding of the material. Another type is an assignment take-up session where I can go over a past assignment and guide you through steps to solving it. For working professionals, I offer the following options: * Focused problem-solving sessions - if you have a particular issue that you're stuck with in a project you're working on, I can pair with you over Zoom screen-sharing * Code review - if you cannot understand how to work with part of your codebase or if you'd like a second opinion on work that you've just completed, I can pair with you over Zoom and do a live code review and/or prepare ahead of time and go over my findings on a call * Long-term mentorship - if you would like to learn some more fundamental skills or pick up a framework/design pattern/best practices, I can develop a custom-tailored learning plan that fits your skill level and schedule and offer regular teaching sessions with optional take-home exercises A bit about me --- I am a tech founder and a senior polyglot/full-stack developer, with a passion for teaching and mentorship. In a bit of spare time from my work, I am looking to help fellow software developers get more comfortable with our craft and exercise my teaching skills while I'm at it. So far, I've done a wide range of work - web app front-end and back-end, data pipelines at scale, DevOps/infrastructure, mobile (quite a bit of iOS and previously some Android) and some security. I have a reasonable taste for UI design and user experience, despite that not being my primary specialization. The industries I've worked in so far were heavily concentrated around finance/banking/FinTech and GovTech, although I've also been a founding developer at a couple of B2C startups and learned a lot throughout that experience. My personal research interests include operating systems and programming language theory. As cliche as it sounds, I try to learn something new all the time and I consider this of vital importance to my professional skillset. I always prioritize systems understanding and learning how to learn over memorizing APIs - and it's a philosophy that I try to share with my students as well. Teamwork and constant exchange of expertise with my peers is a close second most important value to me. A software product can be almost meaningless without a team that welcomes learning from failures, encourages curiosity and fosters true human friendships, and empathy both towards each other and towards the customers of the software we create. New client intake process --- 1. Intro/triage call [free of charge] [15 min] - this is a Zoom video call where I try to understand your background, the problem you're looking to solve and whether I believe we'd be a good fit for a productive mentor/mentee relationship. 2. Supplemental terms acceptance - as an independent contractor and not an employee of Arc, I ask my clients to accept a few additional terms that make session time measurement, scheduling and work product acceptance more precise, and further clarify the extent of our mentorship relationship. 3. Creation of Freelance Job/Scheduled Session on Codementor - if you haven't done that yet, I will ask you to create and assign me a freelance job and/or a scheduled session with a precise description of the topics we would be covering. For certain sessions, preliminary preparation may be required - if that is the case, we would discuss the details and estimated time ahead of time and a Freelance Job would be required to cover the effort of the preparation. Availability --- Please take a look at my Codementor calendar to plan intro calls and sessions. Generally, I am available between 3:30pm and 8pm Eastern Time (New York/Toronto), Monday to Saturday, but I try to schedule all of my teaching engagements between 6pm and 8pm whenever possible. *IMPORTANT: Urgent sessions are unfortunately not available at this time.* I am currently working through Codementor as a mentor, and unable to work as an on-call freelance developer. Please also note that I cannot provide consultations over chat - in my experience, it's generally more time-consuming for everyone, and copy-pasting code over chat can get messy. For those reasons, I only work through Zoom video calls with screen sharing. If you have any questions about the process or would like to book a call, I am happy to chat on Codementor - I should be usually available Monday-Saturday, 1pm - 8pm Eastern Time, subject to my other engagements. While I try to respond as soon as I can, I may take up to one business day or longer depending on how busy my schedule might get.
- Linux Kernel
- DevOps
- Java
- React
- Functional Programming
- Systems Programming
- Scheme
- Technical Writing
- Twilio
- Web Application Security
- Nginx
- Docker
- Git
- Amazon S3
- Amazon EC2
- Full Stack
- AWS
- Security software
- JavaScript
- C++
- C
- Raspberry Pi
- Shell
- Clojure
- Racket
- Terraform
- HAProxy
- Google Cloud Platform
- Kubernetes
- Packer
- Operating Systems
- Ansible
- Distributed Systems Engineering
- Progress Chef
Dato Simó
Linux Kernel tutor
US$17.00 /15 min
I studied an MEng in Computer Science in Spain, and moved to Ireland to work at Google as a Site Reliability Engineer for five years. Them I moved in Argentina, to teach in the country’s biggest University. - I have wide experience teaching how to program, and in explaining the foundational concepts of Computer Science. - I can also help delving into more low-level topics like network programming and operating system internals. - Finally, Data Science & Machine Learning is an area of interest, and I can help you in courses that touch these topics. AVAILABILITY: https://hub.flexibits.com/openings/adeosimo-bExY/codementor/
Arushi Singhal
Linux Kernel tutor
US$25.00 /15 minI am Arushi Singhal, Software Engineer at Amazon. I have a keen interest in Algorithmic Problem Solving and have been programming for around 7 years now. I interned in Summer 2019 at Google as a Software Engineer. In Summer 2018, I did a Machine Learning internship at Robert Bosch Engineering and Private Limited, Bangalore, India (RBEI). I have multiple experiences of back-end development for large-scale systems. During my internships, I worked with Python and machine learning libraries in Python, Java, gRPC, Protocol Buffer, Google Guice and Google’s Internal Frameworks, Django, Ruby on Rails. I have also contributed to many open-source projects, including the Linux Kernel. I have submitted over 50 patches to kernel code. My other contribution to Open Source can be seen on my GitHub Profile. I am also passionate about mentoring and motivating people to contribute to open-source projects and was Google Code-In Mentor in 2017 for OpenWISP and Sugar Labs. I also worked as a Computer Science Instructor at CodeConnect, where we as an instructor ensure that our computer science education is accessible, empowering, and supportive for the next generation, and committed to our mission of increasing diversity in tech. In CodeConnect, I gave Python lectures to Pre-University students. I also used to be a Student Teaching Assistant and Research Assistant and I find teaching/mentoring extremely motivating - sometimes I'd get introduced to new interesting topics that I'd probably never think of finding out about on my own if it wasn't for the purpose of explaining it to someone else. Sometimes I'd get a completely new perspective on subjects I thought I knew when trying to find a way to present it to someone else. I'd really love to keep learning this way. One of the topics I'm always happy to talk about are the interviews - I've done a fair share of them, most of them in top tech companies and I would love to share what I've observed so far. I'm always up for tackling interesting interview questions, doing mock interviews or just giving resume tips (I got my interviews at Amazon, Facebook, Microsoft, Google and also at open-source communities without a referral, so I might help you with reviewing your resume to make it stand out. :)) Other than that, you can always reach out to me if you have questions related to Java, Python, R, Matlab, C, C++, Data Structures, Algorithms, SQL, GIT, Mathematics etc. I try to keep my knowledge and skills up to date and learn something new every day by helping you! Being a researcher, quick learner and having software development experience, I believe I am a good fit for mentoring.
- C++
- HTML/CSS
- Java
- Python
- Django
- Ruby on Rails
- Data structure
- MySQL
- C
- Git
- Bash
- MATLAB
- JSON
- XML
- Coding challenges
- AWS
- XSLT
- SQL
- Mathematics
- Teaching
- Resume Writing
- PyTorch
- Coding
- Interview Preparation
- Faang
- R
- Interview Skills
- Containerization
- Containers
- Continuous Deployment
- Continuous Integration
- Cloud Architecture
- DynamoDB
- Amazon EC2
Thomas Legris
Linux Kernel tutor
US$15.00 /15 minHello 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!
Orkhan Hasanli
Linux Kernel tutor
US$25.00 /15 minTotal experience: 7 years. Tech stack: Golang, C/C++, Typescript, Python, React, React Native, Docker, GCP, AWS, Terraform, bash, git, OpenAPI, RESTful APIs, microservices. Education: Computer Science from University of Waterloo (Canada) Experiences: 2016-2021: Cisco Systems Inc. Designed and implemented software for Cisco's flagship routers and enterprise switches. Worked with protocols such as BGP, EVPN, VPN, PWHE, MPLS, IPv4, IPv6, LISP, BFD, Openflow, etc. 2021-current: Working with startup company Synctera to help them building Banking-as-a-Service platform. I am responsible for designing and implementing public backend APIs in Go and OpenAPI spec.
- Kernel
- C
- C++
- Python
- GDB
- Parallel Programming
- Algorithm
- Git
- Bash
- Go
- Computer Science
- Computer Architecture
- LiDAR
- Django
- Swagger
- TypeScript
- JavaScript
- Julia
- Shell
- Internet of things
- React
- Object detection
- Concurrent Programming
- Test Automation
- Testing
- Embedded Systems
- Memory allocation
- Scheduling
- Microkernel
- Embedded C
- Embedded Linux
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Users love our Linux Kernel tutors
See the power of our Linux Kernel tutors through glowing user reviews that showcase their successful Linux Kernel learning journeys. Don't miss out on top-notch Linux Kernel training.
“Very well explained and was able to provide multiple resolution and educate on how it will effect each command“
jason Huang / Mar 2022
Nasim Haque
Linux Kernel tutor
“Excellent tutor and he helped me think about things more logically as I was doing the lab assignment! I will be working with him again in the future since I have plenty more assignments that would most likely require more guidance and thinking.“
Rnard Sloan / Oct 2020
Aleksander Korzyński
Linux Kernel tutor
“Enrique was an absolute lifesaver with my Python project! His deep understanding of programming concepts and ability to explain solutions clearly made a significant difference. He was not only efficient but also patient, ensuring I fully grasped each step of the process. I highly recommend Enrique to anyone looking for expert assistance with coding projects—his expertise and supportive attitude are unmatched!“
N Almai / Dec 2024
Enrique Bruzual
Linux Kernel tutor
“Lanre showed me how to properly deploy code to Vercel. He showed me where I missed in the deployment process in an easy-to-follow manner and I will remember how to setup deployments next time. Thanks Lanre!“
Vince Lu / Dec 2024
Opeoluwa Lanre
Linux Kernel tutor
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Frequently asked questions
How to learn Linux Kernel?
Learning Linux Kernel 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 Linux Kernel. 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 Linux Kernel, 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 Linux Kernel 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 Linux Kernel through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Linux Kernel skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Linux Kernel in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Linux Kernel 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 Linux Kernel?
The time it takes to learn Linux Kernel 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 Linux Kernel 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 Linux Kernel’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Linux Kernel generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Linux Kernel, contributing to major projects, and possibly specializing in specific areas within Linux Kernel.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Linux Kernel. Engaging with new developments, tools, and methodologies in Linux Kernel 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 Linux Kernel tutor on Codementor?
The cost of finding a Linux Kernel 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 Linux Kernel 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 Linux Kernel 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 Linux Kernel with a dedicated tutor?
Learning Linux Kernel 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 Linux Kernel, 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 Linux Kernel 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 Linux Kernel 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 Linux Kernel in a structured, supportive, and effective environment.
How does personalized Linux Kernel mentoring differ from traditional classroom learning?
Personalized Linux Kernel 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 Linux Kernel.
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