Systems & Infrastructure Engineering Student Operating Systems · Networking · Distributed Systems · Storage · AI System Deployment
I am an undergraduate engineering student focused on low-level systems and backend infrastructure.
My work centers on how software behaves across the boot process, kernel, storage, networking, and service layers, with particular interest in building reliable, secure, and performant systems.
Alongside systems work, I explore how modern AI components are deployed and operated in real systems, including retrieval pipelines and local inference, without focusing on model research or training.
- Operating Systems & Kernel Internals
- Computer Networks & Asynchronous I/O
- Distributed Systems & Fault Tolerance
- Storage Engines & Data Integrity
- AI System Deployment (RAG, inference pipelines)
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x86 Bootloader & Kernel Two-stage bootloader and 32-bit kernel with paging, interrupts, drivers, and basic system services.
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RustRedis (Redis-Compatible Server in Rust) Async TCP server implementing the RESP protocol, multiple data structures, AOF persistence, TTLs, and Pub/Sub.
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KestrelCache (Log-Structured Key-Value Store) Persistent key-value database with append-only storage, CRC-based integrity checks, and in-memory indexing.
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Distributed Systems Prototypes Experiments exploring consensus, gossip-based replication, and coordination mechanisms.
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Retrieval-Augmented Generation Pipeline Local-first RAG system integrating document ingestion, vector storage, retrieval, and inference.
Languages: C, C++, Rust, Python Systems: Linux, Concurrency, Networking Backend: Async I/O, Protocol Design, Storage Engines AI Systems: Retrieval pipelines, vector databases, local inference
Deepening my understanding of systems internals and distributed infrastructure, with the long-term goal of building robust platforms capable of supporting intelligent applications.
- Email: sakshamkapoor810@gmail.com
- LinkedIn: https://www.linkedin.com/in/saksham-kapoor-/