Rust Systems Portfolio — Robert Nio
World-class Rust systems programming: safety, performance, and production-grade architecture.
TTAPI — High-Performance Financial Data Platform
A production-grade Rust application demonstrating mastery of async/await concurrency, zero-copy data processing, and fault-tolerant systems design.
Key Highlights
🚀 23x faster end-to-end pipeline with intelligent caching ⚡ 438,000 rows/second data import throughput 💾 8x more memory efficient than Python/Pandas equivalents 🔄 100 concurrent requests with semaphore-based backpressure 🎯 ≥90% test coverage with zero clippy::pedantic warnings 🛡️ Circuit breakers & resilience for fault-tolerant operation
Performance at a Glance
End-to-End Pipeline
| Metric | Cold Run | Cached Run | Speedup |
|---|---|---|---|
| Total Pipeline | 3m 2s | 7.8s | 23x |
| Symbol Data | 52s | 88ms | 590x |
| EOD Processing | 2m 26s | 4s | 36x |
| Core Data | 16s | 91ms | 176x |
Throughput Analysis
| Operation | Scale | Throughput |
|---|---|---|
| Symbol collection | 22,348 symbols | 8,608 symbols/s |
| MetaStock import | 27.6M rows | 438,000 rows/s |
| Parquet load | 2.69 GB | 690 MB/s |
| Statistical analysis | 29.2M rows | 7.3M rows/s |
Technical Excellence
1. Workspace Architecture (Polars-Inspired)
- Domain-separated crates: core, client, platform, polars, onboarding
- Parallel compilation: Faster incremental builds
- Dependency isolation: CLI changes don’t recompile platform
- Testability: Easy to mock boundaries
2. Async/Await Concurrency
- Tokio work-stealing scheduler: M:N threading (M tasks on N OS threads)
- Semaphore-based backpressure: Prevents API rate limiting (max 100 concurrent)
- 800% CPU utilization: 8 cores fully utilized during parallel operations
3. Zero-Copy Data Processing
- Polars columnar format: 10x better memory efficiency than row-based
- LazyFrame query optimization: Build query plan, optimize, execute once
- Memory-mapped Parquet: Direct disk-to-memory mapping
4. Intelligent Caching
- TTL-based invalidation: Automatic freshness (no manual cache management)
- Dependency tracking: Downstream data auto-refreshes when upstream changes
- 85% cache hit rate: 294x average speedup for cached operations
5. Circuit Breakers & Resilience
- Per-endpoint tracking: TastyTrade and dxFeed tracked separately
- Exponential backoff with jitter: 100ms → 400ms → 800ms (randomized)
- Graceful degradation: 20% missing data? Keep processing!
Code Quality Standards
Rust Excellence Playbook 2025
✅ ≥90% test coverage (llvm-cov)
✅ Zero clippy::pedantic warnings
✅ File headers (copyright, license, description)
✅ Panic-free public APIs (all errors are Result<T, E>)
✅ Benchmark suites (criterion/divan)
✅ Structured logging (tracing with request IDs)
Documentation
Core Technical Documentation
📊 Performance Benchmarks — Detailed metrics, throughput analysis, and real-world performance data 🏗️ Rust Excellence — Architecture deep-dive with code examples and design patterns 🔍 Architecture Deep Dive — System diagrams, data flow, and concurrency model ⚖️ Why Rust? — Technology comparison (Rust vs. Python/C++/Go) with performance data
Quick References
🎯 Architecture One-Pager — Quick technical overview 🎥 Demo Videos — Watch cold run vs. cached run (23x speedup)
Engineering Write-Ups
📝 Panic-Free Rust APIs — Production-grade error handling 📝 Bench-First Rust Development — Performance as a feature
Real-World Performance
Symbol Data Collection (507 Symbols, S&P 500)
Cold Run: 368,380 data points in 52 seconds Cached Run: 368,380 data points in 88 milliseconds Speedup: 590x faster
EOD Data Processing (9,158 Symbols, 29M Rows)
Cold Run: 29.2M rows (2.69 GB) in 2m 26s Cached Run: 2.69 GB loaded in 3.978s Speedup: 36x faster
Key Differentiators
vs. Python/Pandas
| Feature | TTAPI (Rust) | Python/Pandas |
|---|---|---|
| Symbol collection (507) | 52s | 2+ hours |
| EOD processing (29M rows) | 146s | 30+ minutes |
| Memory usage | 2.4 GB | 20+ GB |
| Concurrent requests | 100 | 10-20 |
| Type safety | Compile-time | Runtime |
vs. Typical Rust Projects
✅ Workspace architecture (Polars-inspired domain separation) ✅ ≥90% test coverage (most projects: 50-70%) ✅ Zero clippy::pedantic warnings (most projects: allow some) ✅ Benchmark suites (criterion/divan with CI gates) ✅ Production-grade error handling (circuit breakers, retries, backoff) ✅ Intelligent caching (TTL-based with dependency tracking)
Contact
Robert Nio Rust Systems Engineer GitHub | LinkedIn
License
Documentation and demo materials are public. TTAPI source code is private.
Copyright © 2025 SKY, LLC. All rights reserved.
No proprietary code is included. Performance data is from real production runs.