Dr. Gurinderjeet Kaur
Hands-on Computer Science tutor with engaging, problem-solving lessons
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Private tutor - Dr. Gurinderjeet Kaur
Doctorate degree
/ 30 min
Dr. Gurinderjeet - Know your tutor
Hello, I am Dr. Gurinderjeet Kaur, a dedicated computer science educator with a Doctorate in Computer Science Engineering. I simplify complex concepts and emphasize a hands-on learning approach, guiding students through coding exercises and real-world projects. My goal is to help students build practical skills, confidence, and critical thinking. I specialize in Computer Science, CSS, Databases, HTML, Java, JavaScript, Matlab, Python, R, SQL, Artificial Intelligence, Microsoft Excel, C, C++, and Coding for Kids. Additionally, I teach Mathematics and Science up to grade 10 level. Whether you're a school student, a college learner, or a professional, I tailor lessons to fit your level. Additionally, I can also teach Mathematics and Science subjects up to grade 10 level. My teaching approach in these subjects emphasizes clarity of concepts, with a focus on making abstract theories understandable through real-world examples and practical exercises. I tailor lessons to the learning pace of each student, ensuring that they grasp every concept fully before moving on. My teaching is interactive, encouraging curiosity and active participation. I focus on helping students apply their knowledge practically, fostering problem-solving abilities, and creating a supportive environment where they feel comfortable asking questions. Tailoring Learning for Every Level Whether you are a school student, college student, or a professional looking to upskill, I can cater to learners at all levels. I have experience teaching students with varying degrees of expertise and can adapt my teaching style to suit their individual needs.
Meet Dr. Gurinderjeet
Dr. Gurinderjeet graduated from Thapar Institute of Engineering and Technology India


Programming tutor specialities
Provincial-specific curriculum (CA)
Upskilling
Debugging
Paired coding
Advanced Placement (AP) Program (USA)
Job readiness
Exam prep
Homework help
Common Core State Standards - CCSS (USA)
New Zealand Curriculum - NZC (NZ)
Assignment help
A-Levels (UK)
Programming class overview
My teaching style is designed to foster a supportive and interactive learning environment where students feel empowered to ask questions, share ideas, and collaborate with others. I firmly believe that the best learning happens when students are encouraged to think critically and apply their knowledge in real-world situations. I focus on: Interactive Learning: I regularly use live coding sessions, real-time problem-solving, and collaborative projects to ensure that students not only understand the material but can also apply it practically. This helps students stay engaged and gives them a sense of accomplishment when they see their code come to life. Encouraging Curiosity: I encourage students to ask questions and explore beyond the curriculum. In programming, learning never stops. I provide guidance on how to approach learning new languages, frameworks, or concepts on their own, fostering a spirit of curiosity that will benefit them long after the course ends. Practical Applications: Every concept I teach is paired with practical examples and real-world scenarios. Whether it's building a website, solving a complex algorithm problem, or developing an AI model, I ensure that students are ready to apply their skills in real-world environments.

Computer Science concept taught by Dr. Gurinderjeet
The session involved a discussion and practical exercise focused on implementing Redis caching to optimize API performance in a Python application. The student worked on understanding Redis concepts like caching, rate limiting, and task queuing. The immediate next step is for the student to continue implementing the caching strategy and profiling the application, to compare the results.
Redis as an In-Memory Data Store
Two-Tier Caching Strategy
Caching for API Performance Optimization
Understanding Time-to-Live (TTL)
Message Broker (Pub/Sub)
The student and tutor worked on two coding problems: one from Code Forces involving even number division and one from LeetCode focused on valid parentheses. The student received detailed explanations of stack implementation and logic for parenthesis matching. The tutor assigned practice problems, encouraging the student to focus on logic building before seeking coding assistance, and scheduled a follow-up session.
String Iteration and Character Comparison
Divisibility and Even Numbers
Input Validation and Conditional Logic
Stack Data Structure (List Implementation)
Membership Operator (`in`) for Strings
Boolean Logic and Return Values
Problem Decomposition and Logic Building
The Student worked on implementing and debugging two Fast API microservices (user and email) that interact using HTTP. The Student implemented user registration with email validation and error handling, focusing on different HTTP status codes. The Student will complete a reflection on the services and prepare for the next session.
Input Validation and Error Messages
Asynchronous Testing
HTTP Status Code Handling
Structured Logging
Microservices Communication with HTTP
The Student and Tutor discussed Kafka, its architecture, and its use in real-time data streaming. The Student worked on implementing a Kafka producer and consumer in Python, focusing on message serialization, routing, and handling callbacks. The Student will continue working on the implementation and has a follow-up session scheduled to further discuss and troubleshoot.
Brokers
Producers and Consumers
Asynchronous Processing by Consumers
Message Keys and Partitioning
Callbacks for Delivery Confirmation
Topics and Partitions
Kafka: Event Streaming Platform
The session focused on implementing a Twitter news feed feature using heaps in Python, specifically working on the `get_news_feed` method. The student started implementing the method and writing test cases, and the Tutor provided guidance on using min-heaps for max-heap behavior and writing effective tests with assert statements. The student is to complete the test cases and related files for Monday's meeting.
Feed Ranking Strategy
Observer Design Pattern Implementation
Heap Data Structure
Tuples in Heaps
Test-Driven Development (TDD) and Assert Statements
Min-Heap Implementation for Max-Heap Behavior
The Student and Tutor worked through Python setup issues before delving into algorithm analysis. The Student practiced evaluating algorithm efficiency and identifying the maximum value within an array. The next session was scheduled to continue the discussion on algorithms.
Understanding NP-Complete Problems
Linear Search: Best
Worst
and Neither Cases
Finding the Maximum Value in an Array (Algorithm)
Arrays and Array Indexing
Determining if a List's Sum Exceeds a Threshold
Even and Odd Number Identification
Your programming tutor also teaches
Computer Science
Databases
Web Development
App Development
Artificial Intelligence
Learner for programming class
College
School
Adult / Professional
All Levels
Home schooled
Teaching tools used by tutor
NetBeans
Jupyter Notebook
Bitbucket
Android Studio
Dynamic programming classes
Record lessons
Mobile joining
Parent feedback
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