Resume
Summary
ML infrastructure and evaluation engineer with about four years of experience building reproducible evaluation harnesses, verifiable data pipelines, and performance-critical systems. I focus on deterministic testing, benchmark design, observability, and systems-level engineering for AI and data-heavy products.
Skills
- Languages: C++, Python, JavaScript/TypeScript, SQL
- ML infrastructure: Gymnasium environments, deterministic verifiers, sandboxed execution, pass@k evaluation with bootstrap confidence intervals, offline RL, experiment tracking, multi-model evaluation registries
- Data systems: Parquet/Arrow, versioned dataset artifacts, data contracts, leakage audits, drift gating, provenance tracking, PostgreSQL, SQLite, async pipelines
- Systems: custom allocators, compression algorithms, SIMD (AVX2), memory management, profiling, observability, thread safety
- Backend and infra: Flask, FastAPI, REST APIs, Docker, Linux, Git, GitHub Actions, CMake
Selected Projects
- TinyCodeTest: deterministic code-evaluation environment with sandboxed verifiers, difficulty-bucketed datasets, pass@k scoring, and multi-model benchmarking
- Market Data Pipeline: data-quality framework producing versioned Parquet datasets with checksums, provenance, and automated leakage audits
- Compression Bench: compression benchmark suite implementing classic algorithms from scratch with streaming APIs and reproducible reporting
- Custom Memory Allocator: thread-safe allocator with benchmark coverage against system and alternative allocators on inference-style workloads
- F1 Strategy RL Environment: deterministic race-strategy environment with verifiers, stress tests, and RL baselines
- Heath: telemetry simulator and replay tooling for F1 mini-season strategy analysis
Experience
Tonfans
Lead Developer, Sep 2024 - Nov 2025
- Owned end-to-end delivery of a production Telegram Mini App integrated with the TON blockchain for community payments and access control
- Implemented purchase and verification flows for NFTs and Jettons with automated ownership gating
- Built secure Python backend workflows and Telegram Bot API integrations for high-volume user interactions
Lifestores Pharmacy
Systems Engineer, Sep 2022 - Aug 2024
- Built a real-time C++ order-processing system sustaining 500+ orders per hour with sub-second latency
- Developed a thread-safe C++ memory-management library with pooling and free lists, improving throughput by roughly 25%
- Added structured logging and telemetry for critical services, reducing time-to-detect and time-to-resolve incidents
Ultra Cloud Technologies
Backend Developer, Aug 2021 - Jun 2022
- Developed REST APIs in Python and Flask for authentication and customer-management services
- Optimized PostgreSQL queries and containerized services with Docker to improve performance and deployment reliability
Education
- B.Sc. Applied Geophysics, Obafemi Awolowo University, Jul 2025
- National Diploma, Mechanical Engineering, Federal Polytechnic Ado Ekiti, Jun 2019