- 🔭 I’m currently working on production-grade AI/ML systems for real-time and deterministic analytics, and designing scalable architectures that don’t break under load. Now I'm building noise-reduction pipelines that strip high-cardinality "junk" from massive log datasets to enable deterministic, high-accuracy LLM analysis and root-cause extraction.
- 🌱 I’m currently learning low-latency engineering fundamentals (C++, data structures, performance profiling), with a deep dive into C++ Concurrency in Action.
- 👯 I’m looking to collaborate on real-world ML systems (not toy notebooks): video analytics, streaming pipelines, inference optimization, or dimensionality reduction techniques for LLMs to enable high-accuracy analysis of massive log datasets.
- 🤔 I’m looking for help with scaling multi-GPU training and inference, ultra-low-latency system design, and C++ performance patterns.
- 💬 Ask me about DeepStream vs Python tradeoffs, GPU/CPU bottlenecks in inference, scaling multi-camera analytics, or why “just use an LLM” usually fails in production.
- 📫 How to reach me: via email.
- 😄 Pronouns: she/her.
- ⚡ Fun fact: Wannabe Super Nanny – balancing real-time analytics, system engineering, and baby bottle schedules 🍼 + 💻.
| Category | Tools & Technologies |
|---|---|
| Languages | |
| Vision & ML | |
| Data & Logs | |
| Infrastructure |