Master DSA Through
Pattern Recognition
15 patterns unlock 95% of coding interviews. Learn smarter with spaced repetition and active recall.
The Knowledge Matrix
A comprehensive, pattern-based curriculum capable of taking you from junior developer to principal engineer.
Core DSA
Essential 5 patterns covering 60-70% of interview questions
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 []Advanced DSA
10 additional patterns for 95%+ interview coverage
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 countSystem Design
RESHADED framework and case studies for distributed systems
Cybersecurity
OWASP Top 10, DevSecOps, Zero Trust, and cloud security
AI/ML Engineering
Prompt engineering, RAG, vector databases, and MLOps
Behavioral Interview
STAR+R method, story banking, and soft skills mastery
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.