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I'm a full stack software engineer, technical writer and computer science educator. I enjoy testing, debugging, refactoring, application design, maintaining projects and teaching.
My primary technologies are JavaScript, React, Express (PERN stack), Playwright, Puppeteer, Python, Flask and C. See my [Stack Overflow tags](https://stackoverflow.com/users/6243352/ggorlen?tab=tags) for more technologies ordered roughly by my interest and experience.
In addition to Stack Overflow, I'm active on [Code Review Stack Exchange](https://codereview.stackexchange.com/users/171065/ggorlen). Feel free to peek at a few of these reviews to get a sense of the insights I can offer your code.
For further information, visit my [Codementor FAQ](https://ggorlen.glitch.me/codementor).
I'm looking forward to hearing about your project!
_<sub>Profile picture by the wonderful [Emily Huston](https://emilyhuston.github.io) ❤️</sub>_
Working as Staff Software Engineer at VISA INC. Skilled in Java, Microservices, Data Structures, Spring Boot, Rest Apis, MVC, CICD, Bamboo, Jenkins, OOPS, Angular, TypeScript, Javascript. Having strong engineering professional with a Bachelor of Technology (B.Tech.) from Vellore Institute of Technology, Vellore.
In my previous life, I did PhD. in computer science studying stochastic systems and Markov models. In my current life I have been developing software for **embedded systems** that dealing with **secure data transfer** and **signal processing**. I have also worked at SAP where I was involved in development of **HANA**, an in-memory column-oriented database. I enjoy to combine my theoretical skills I have leaned from my previous life with industry experience I gained from my current life to solve challenging problems.
- C/C++ and python
- embedded systems
- security
- signal processing
I've been coding since high school and have participated in various world level contests. Some notable one being Country rank 20 in Google Hashcode
I've also gained huge development experience through college and from my work. I also do many side projects, currently working on an algo trading bot
- Use Programming Languages like Python to help businesses and individuals to solve problems, automation & save time.
You may go through some of my projects here : **https://github.com/letspython3x**
Greetings! I work as a professional mentor as a web dev bootcamp in Vancouver, BC called Lighthouse Labs, where I teach students about programming, web development, problem solving, UX/UI and anything else they need help with, one-on-one, in groups, and remotely. I also conduct practice tech interviews with the students - ensuring they are prepared for the kind of questions and format they might expect from a real tech interview, perform code and UX/UI reviews, evaluate projects and actively contribute to the curriculum. I've received praise from students, instructors, administrative staff and fellow mentors for my friendly and helpful demeanour, patience with students of all levels, ability to break concepts down to a level as basic as an individual student needs, tendency to commiserate with and relate to their struggles and frustrations, thoughtful and comprehensive feedback on code reviews and tech interviews, willingness to go above and beyond to help students, often staying late to ensure everybody has been taken care of and coming in on my off days or mentoring remotely when the mentors are understaffed, and of course for my knowledge and skill - particularly in UX/UI and front end design and development (HTML5, CSS3, SASS, jQuery, AJAX), Javascript (client and server-side with Node and Express), Ruby/Rails, full-scale project design (data modelling, information architecture etc), and conceptual explanations/examples.
I have experience with a variety of other languages/platforms/frameworks - Objective-C/iOS development, Java, C++, some PHP, SQL, Angular.js, Bootstrap, Foundation - as well as OOP, imperative and functional programming, and concepts like recursion, complexity, algorithm design, closures, callbacks, and other concepts that regularly stump students.
On my to learn/improve on list are React/Redux, Swift, Scala, Python, ES2016+ additions like async/await, and ever-strengthening my existing skills and improving my knowledge, and further developing my expertise in UX/UI design and pushing the boundaries of frontend development as far as I can.
See the power of our Algorithmic Problems tutors through glowing user reviews that showcase their successful Algorithmic Problems learning journeys. Don't miss out on top-notch Algorithmic Problems training.
“Thank you again - RajhaRajesuwari brought a lot more clarification on how to use Wordpress! Provided lots of tips and advice / included suggested plugins and expedited my learning experience with Wordpress 10/10 :}“
katherine liu / Jun 2024
RajhaRajesuwari S
Algorithmic Problems tutor
“Simon was available quickly and proactively, and helped me understand the subject matter behind my request in clear and precise terms! He walked me through the process and its various options, took time to explain what was unclear to me, and was able to answer any follow-up questions that came up accurately. He provided me with some great reference material that I can use to build up and elaborate on my Github workflows!“
Moritz Voss / Jun 2024
Simon Brugman
Algorithmic Problems 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
Algorithmic Problems 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
Algorithmic Problems tutor
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Frequently asked questions
Learning Algorithmic Problems 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 Algorithmic Problems. 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 Algorithmic Problems, 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 Algorithmic Problems 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 Algorithmic Problems through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Algorithmic Problems skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Algorithmic Problems in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Algorithmic Problems generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Algorithmic Problems, contributing to major projects, and possibly specializing in specific areas within Algorithmic Problems.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Algorithmic Problems. Engaging with new developments, tools, and methodologies in Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems, 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 Algorithmic Problems 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 Algorithmic Problems 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 Algorithmic Problems in a structured, supportive, and effective environment.
Personalized Algorithmic Problems 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 Algorithmic Problems.