Neuroscience-backed learning

Master DSA Through
Pattern Recognition

15 patterns unlock 95% of coding interviews. Learn smarter with spaced repetition and active recall.

15
Core Patterns
200%
Better Retention
20hrs
To Competency
95%
Coverage
Complete Curriculum

The Knowledge Matrix

A comprehensive, pattern-based curriculum capable of taking you from junior developer to principal engineer.

🎯5 patterns

Core DSA

Essential 5 patterns covering 60-70% of interview questions

two_sum.py
def two_sum(nums, target):
    seen = {}
    for i, num in enumerate(nums):
        complement = target - num
        if complement in seen:
            return [seen[complement], i]
        seen[num] = i
    return []
🚀10 patterns

Advanced DSA

10 additional patterns for 95%+ interview coverage

prefix_sum.py
def subarray_sum(nums, k):
    count = 0
    curr_sum = 0
    prefix_sums = {0: 1}
    
    for num in nums:
        curr_sum += num
        diff = curr_sum - k
        count += prefix_sums.get(diff, 0)
        prefix_sums[curr_sum] = \
            prefix_sums.get(curr_sum, 0) + 1
            
    return count
🏗️5 patterns

System Design

RESHADED framework and case studies for distributed systems

🔒5 patterns

Cybersecurity

OWASP Top 10, DevSecOps, Zero Trust, and cloud security

🤖5 patterns

AI/ML Engineering

Prompt engineering, RAG, vector databases, and MLOps

💬5 patterns

Behavioral Interview

STAR+R method, story banking, and soft skills mastery

💻5 patterns

Emerging Languages

TypeScript, Rust, and Go patterns and paradigms

Why TechMastery Works

Every feature is designed based on cognitive science research.

Spaced Repetition

SM-2 algorithm schedules reviews at optimal intervals for 200-300% better retention.

Pattern Chunking

15 patterns compress 500+ problems into manageable mental models.

Active Recall

Problem-first learning strengthens memory pathways more than passive review.