High-Performance Computing & Predictive AIOps
Our focus is on engineering low-latency engines, predictive diagnostic tools, and cost-optimization frameworks for large-scale cloud environments. We bridge the gap between high-level cloud architecture and low-level system performance.
- High-Performance Engineering: JIT Compilation (LLVM), SIMD optimization, and low-level memory management (C/C++, Python/Numba, C#).
- Predictive AIOps: High-throughput ML pipelines for infrastructure telemetry, specializing in latency forecasting and anomaly detection.
- Cloud & FinOps: Designing deterministic scaling heuristics to suppress cloud waste and enforce strict SLAs through FinOps-as-Code.
- Systems Architecture: Deep expertise in .NET Core internals, distributed systems, and ultra-low latency integration.
| Project | Tech Stack | Core Impact |
|---|---|---|
| Predictive-ML-Core | C#, ML.NET, FastTree | Real-time SLA breach forecasting using low-level OS telemetry. |
| JIT-Optimization-Engine | Python, Numba, LLVM | High-speed stochastic diagnostics via JIT-compiled analytical cores. |
"Optimizing the world's infrastructure, one microsecond at a time."