Ankur Kumar Data Structures Algorithm
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About Me:
I am a Software Engineer in Cybersecurity at a FAANG company with prior offers from Amazon, Microsoft, and BNY Mellon. I graduated from NIT Jamshedpur (CSE), ranked 3rd in my class, and cracked JEE Advanced (AIR 5314) & JEE Mains (AIR 6200). I am an Olympiad holder and have solved 1000+ DSA problems across LeetCode and Codeforces. Previously, I worked as a Teaching Instructor at Coding Ninjas, mentoring students in DSA and competitive programming.

Expertise:

Amazon/Microsoft-Level DSA Prep: FAANG-style questions, step-by-step optimal solutions.

Machine Learning & Deep Learning: Hands-on projects with mathematical intuition.

Maths & Physics: Concept clarity for competitive exams & strong fundamentals.

Full-Stack Development & Cloud: MERN stack, APIs, scalable deployments (AWS/GCP).

Cybersecurity & System Design: Real-world secure architectures & threat modeling.

Career & Interview Guidance: Resume reviews, mock interviews, and success strategies for top tech companies.

My Approach:
I focus on clarity, structure, and results, making complex topics simple and interview-ready. My sessions are interactive, doubt-focused, and tailored to help students crack Amazon, Microsoft, BNY Mellon, and FAANG-level interviews with confidence.

To become the best learn from the best.

Subjects

Maths Beginner-Expert
Computer Science Beginner-Expert
C++ and Data Structures Beginner-Expert
Data Structures and Algorithms (C++) Beginner-Expert
Generative AI Beginner-Expert

Experience

Teaching Assistant (May, 2024–Jun, 2025) at Coding Ninjas

Assisted 200+ students in mastering DSA concepts at Coding Ninjas by providing doubt resolution and code debugging support.

Guided learners in React projects, ensuring optimized code and smooth learning experience.

Education

Secondary (Dec, 2021–Aug, 2025) from National Institute of Technology Jamshedpur

Fee details

₹200–1,000/hour (US$2.11–10.53/hour)

Fee ranges from ₹200 to ₹1000 for a 1-hour session, based on service type.

Courses offered

DATA STRUCTURES AND ALGORITHMS (DSA)
- US$500
- Duration: 3 Months
- Delivery mode: Online
- Group size: 5
- Instruction language: English, Hindi
- Certificate provided: Yes
Course Description – Data Structures & Algorithms
This course builds strong foundations in Data Structures and Algorithms through hands-on coding, problem-solving techniques, and real interview patterns. We start from basics (arrays, strings) and move to advanced topics (graphs, dynamic programming, segment trees).

What You’ll Learn:

Time & Space Complexity Analysis

Arrays, Strings, Recursion

Linked Lists, Stacks, Queues

Trees, BST, Heaps, Tries

Graphs & Shortest Path Algorithms

Sorting & Searching Techniques

Greedy, Divide & Conquer, Dynamic Programming

Hashing & Advanced Data Structures

Key Highlights:

200+ curated problems from LeetCode/Codeforces

Step-by-step explanations & optimal solutions

FAANG-level questions for interview prep

Regular doubt-solving & mock interviews

By the end of the course, you will have the skills and confidence to solve complex problems and crack Amazon, Microsoft, BNY Mellon, and FAANG-level coding interviews.
AI /ML
- US$500
- Duration: 3 Months
- Delivery mode: Online
- Group size: 5
- Instruction language: English, Hindi
- Certificate provided: Yes
Course Description – Artificial Intelligence (AI)
This course introduces the core concepts of AI, Machine Learning, and Deep Learning, focusing on practical implementation and mathematical intuition. Students will learn to build intelligent systems step by step, starting from fundamentals to real-world projects.

What You’ll Learn:

Introduction to AI & ML Concepts

Supervised & Unsupervised Learning

Regression, Classification, Clustering

Neural Networks & Deep Learning Basics

CNNs, RNNs, and Transformers

Natural Language Processing (NLP)

Model Evaluation, Bias-Variance Tradeoff

Deployment of AI Models on Cloud

Key Highlights:

Hands-on projects (image classification, NLP, recommendation systems)

Clear explanation of math behind ML/DL algorithms

Industry-relevant tools: Python, NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch

Real-world use cases from FAANG-level experience

By the end, you’ll be able to build and deploy AI models, understand how algorithms work under the hood, and confidently tackle ML/DL interview questions.