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KayaanT/README.md

Hi, I'm Kayaan

Computer engineering student at Waterloo, on co-op. I build AI infrastructure and inference systems — most recently ingestion and agent pipelines at a legal-tech startup, and data center network research at Huawei. Currently building homelab, a single-node Kubernetes + OpenStack private cloud, and core-contributing to Cactus, an open-source on-device AI inference engine. Drawn to hard engineering problems at the intersection of AI and systems.

Portfolio · LinkedIn · Email

Tech Stack

Languages

Python C C++ Go TypeScript JavaScript SQL Bash

AI Infra / Inference

PyTorch OpenTelemetry ClickHouse

Infrastructure

Kubernetes Docker Terraform AWS GCP Linux Redis PostgreSQL

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  1. epoch epoch Public

    end-to-end platform for LLM training

    Python

  2. cactus-compute/cactus cactus-compute/cactus Public

    Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.

    C++ 6k 497

  3. load-balancer load-balancer Public

    A dashboard to visualize load balancing of traffic entering a server.

    Go

  4. homelab homelab Public

    Single-node AI-infra homelab: Kubernetes + Cilium + Rook-Ceph + ArgoCD on one 16GB box, with OpenStack in a KVM guest

    Shell