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I have a PhD in Computer Science and I have extensive experience in scientific computing. I have deep expertise in C & Matlab, and I am also very proficient with PHP, MySQL, Linux, Apache, Excel, and so on. I have completed many projects involving computational modelling, statistical analysis, experimental data analysis, and innovative algorithm design & implementation.
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.
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.
25 years of experience in software architecture, design and development. Skilled in architecture and design of networked, large scale distributed software systems, real-time systems, operating systems, enterprise and carrier grade telecommunication software systems, high availability and fault tolerant software applications, middle-ware, platforms, scalable data processing, distributed systems, concurrent programming and software framework implementation Worked in US Software industry as a Senior Software Engineer for more than 7 years and also held key positions in Software industry in Pakistan for 17 years.
I enjoy building great software and always care about the details to the extend where it makes sense in a given project scope.
I want the product I am building to become a success, and believe a successful product is a useful product. For this reason, I care as much about the process of defining a product as I care about actually coding it.
See the power of our Algorithmic thinking tutors through glowing user reviews that showcase their successful Algorithmic thinking learning journeys. Don't miss out on top-notch Algorithmic thinking training.
“Today was the first time meeting Bilal. It was more an introductory session to get to know each other than a mentoring session. He was very polite throughout the whole session and was not pushy at all with trying to sell himself or his services. I'm still considering who to take as a mentor, but he is definitely in consideration. Thank you for chatting with me today!“
Andrew Huntington / Dec 2024
BilalurRehman
Algorithmic thinking tutor
“I’m really pleased by Stefano's teaching style. He’s patient, explains Java concepts clearly, and goes at a pace that works well for beginners like me. He ensures I understand the material before moving on. I’ve already learned a lot in our lessons, and I’m excited to continue learning with him. Highly recommend!“
Alexia Constant / Dec 2024
Stefano Maglione
Algorithmic thinking tutor
“Kafil has taken the time to understand my project, and is helping me improve my PowerApp in ways I didn't even think of. I am super impressed with his eye for the little details, as well as the bigger ones!“
Jessica Schomisch / Dec 2024
Kafil Ahmed
Algorithmic thinking 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
Algorithmic thinking tutor
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Frequently asked questions
How to learn Algorithmic thinking?
Learning Algorithmic thinking 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 thinking. 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 thinking, 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 thinking 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 thinking through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Algorithmic thinking skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Algorithmic thinking in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Algorithmic thinking 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 Algorithmic thinking?
The time it takes to learn Algorithmic thinking 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 thinking 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 thinking’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Algorithmic thinking generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Algorithmic thinking, contributing to major projects, and possibly specializing in specific areas within Algorithmic thinking.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Algorithmic thinking. Engaging with new developments, tools, and methodologies in Algorithmic thinking 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 Algorithmic thinking tutor on Codementor?
The cost of finding a Algorithmic thinking 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 thinking 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 thinking 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 Algorithmic thinking with a dedicated tutor?
Learning Algorithmic thinking 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 thinking, 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 thinking 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 thinking 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 thinking in a structured, supportive, and effective environment.
How does personalized Algorithmic thinking mentoring differ from traditional classroom learning?
Personalized Algorithmic thinking 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 thinking.