Systems Engineer
I build high-performance infrastructure and ultra-low latency systems. My focus bridges the gap between raw hardware manipulation and scalable AI environments. If a system requires bypassing garbage collectors, optimizing cache lines, managing distributed state, or accelerating machine learning pipelines, I am interested in building it.
- High-Frequency Trading Infrastructure: Architecting a zero-allocation, cache-aligned Limit Order Book in C++17 (clocking sub-10µs latencies) bridged natively to PyTorch for Reinforcement Learning.
- Distributed Systems: Engineering thread-safe, concurrent caching servers in Rust utilizing Write-Ahead Logging (WAL) and POSIX sockets.
- AI & NLP Backend: Deploying FAISS-backed Retrieval-Augmented Generation (RAG) pipelines and optimizing LLM inference environments.
I am currently exploring Summer and Off-Cycle roles in Quantitative Development, Core Engineering, and AI Infrastructure.
- LinkedIn: linkedin.com/in/parvepalial
- Email: parve.palial@gmail.com
