NBA Stats Predictor
End-to-end Python ML pipeline using feature engineering, time-series CV, and CatBoost, beating rolling-average baselines by 15% on held-out seasons.
PythonMachine LearningCatBoostSQLite
A curated set of builds across software, analytics, and systems.
End-to-end Python ML pipeline using feature engineering, time-series CV, and CatBoost, beating rolling-average baselines by 15% on held-out seasons.
C++ order-matching engine with O(log n) latency on 100K+ events and 2M ticks/sec market data ingestion.
In-memory SQL engine in C++ with parsing, indexing, and test-driven validation for structured queries.
Bernoulli Naive Bayes classifier in C++ trained on 20K+ posts with 25 unit tests for validation.
Explores 1M+ states in under 2 seconds using BFS and DFS optimization strategies.