Farouq Oguntoye

Farouq Oguntoye

Software engineer building ML infrastructure, deterministic evaluation systems, and high-performance backends.

Farouq Oguntoye

Software engineer building ML infrastructure, deterministic evaluation systems, and performance-critical backends.

I work across Python and C++ on reproducible evaluation harnesses, verifiable data pipelines, backend systems, and systems tooling. Recent projects include RL-style code evaluation environments, high-throughput data pipelines with auditability, compression tooling, and custom memory-management experiments.

Focus areas

  • ML infrastructure and model evaluation
  • Reproducible data and benchmark pipelines
  • Backend systems in Python and C++
  • Verification, observability, and performance engineering

TinyCodeTest

Deterministic code-evaluation environment with sandboxed execution, difficulty-bucketed datasets, pass@k benchmarking, and a Vercel UI for running multi-model evals. Project page | Repository

Market Data Pipeline

Versioned Parquet pipeline with provenance tracking, deterministic leakage audits, drift gating, and reproducible baseline evaluation. Project page | Repository

Compression Bench

Compression benchmark suite implementing classic algorithms from scratch with SIMD acceleration, reproducible reporting, and multi-threaded DEFLATE experiments. Project page | Repository

Explore