Asai Neko CV
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Asai Neko

Personal Information

Systems-oriented software and infrastructure engineer focused on Linux, networking, cloud-native infrastructure, backend engineering, and applied AI.

I enjoy designing reliable systems, building production infrastructure, and exploring emerging technologies and engineering practices.

Linux kernel contributor, member of NixCN, the Chinese Nix/NixOS community, and organizer of the NixCN Conf open-source conference.

Project Experience

NixCN & NixCN Conf

  • Participate in the development and maintenance of NixCN community infrastructure and open-source projects.
  • Participate in organizing NixCN Conf, focused on the Nix/NixOS ecosystem, reproducible systems, and related open-source technologies.
  • Developed the open-source conference management system used by NixCN for conference operations, attendee management, scheduling, and on-site workflows.
  • The system uses technologies including Go, SvelteKit, PostgreSQL, Redis, OpenTelemetry, OpenAPI, and Nix/devenv.

Organization: forge.asnk.io/nixcn

Flake — Declarative NixOS & Home Manager Configuration

A personal Nix flake for managing NixOS systems and Home Manager environments.

  • Designed a custom aspect-oriented layout and an embedded domain-specific language (DSL) in Nix to declare and compose NixOS and Home Manager configurations, with automatic module discovery and host assembly.
  • Organize applications, services, desktop environments, and hardware settings into shared modules and host-specific configurations.

Repository: forge.asnk.io/sugar/flake

Asai Blog — Static Blog & Publishing System

A static blog built with a functional programming stack: Haskell (Hakyll and Pandoc) for site generation and Elm for the interactive frontend, with content authored in Obsidian.

  • Compile published Markdown notes into static pages, resolving wiki links and attachments during the build.
  • Implement search, category and tag filtering, and keyboard navigation through an Elm interface.

Repository: forge.asnk.io/sugar/asai-blog

ACS K8s — Serverless CI Runners

A Forgejo Actions runner system built on Alibaba Cloud ACS serverless Kubernetes, designed to reduce idle runner capacity and control costs compared with maintaining a dedicated server or an always-on cluster.

  • Use KEDA to scale ephemeral runners from the job queue, execute one job per runner, and scale runner pools to zero when idle.
  • Built a Go CLI for runner configuration, deployment, and diagnostics.
  • Use Buildah for container image builds instead of privileged Docker-in-Docker.

Repository: forge.asnk.io/sugar/acs-k8s

Git Indexing System — Large Repository Processing

Built a highly concurrent Git indexing system optimized for very large repositories such as the Linux kernel.

  • Handle workloads loading 1.5 million commits at once, with concurrent Git log queries and object retrieval.
  • Tuned kernel parameters for high-concurrency indexing workloads.
  • Optimized NFSv4 protocol usage for concurrent repository access.
  • Optimized Git core operations for log queries and object retrieval in large repositories.
  • Achieved measured I/O throughput of 3,200 IOPS.

Website: forge.asnk.io

Ayame Cluster — Production Kubernetes Platform

Designed, built, and maintain a production Kubernetes platform consisting of 3 control-plane nodes and 5 worker nodes, with infrastructure provisioning, cluster configuration, application deployment, and continuous delivery managed as code.

  • Designed and provisioned the underlying infrastructure using Terraform.
  • Built a declarative GitOps workflow around Argo CD for cluster and application lifecycle management.
  • Integrated TeamCity to provide automated CI/CD workflows from source code to production deployment.
  • Organized cluster configuration into infrastructure, platform, and application layers.
  • Operate production workloads including source code hosting, container registries, communication services, databases, and web applications.
  • Deployed and maintain infrastructure including Istio, cert-manager, Sealed Secrets, CloudNativePG, and CSI-backed persistent storage.
  • Designed production networking, TLS/PKI, service networking, persistent storage, secrets management, and database infrastructure.
  • Maintain the platform through Infrastructure as Code and declarative Kubernetes configuration.

Repository: forge.asnk.io/sugar/ayame-cluster

NyaBot — Go Chatbot Framework

Contributed 19 merged pull requests to NyaBot, an open-source chatbot framework written in Go.

  • Implemented go-cqhttp HTTP and forward/reverse WebSocket integration, event dispatch, and typed action APIs.
  • Built Go/Lua extension mechanisms and improved configuration, data persistence, and multi-architecture container release automation.

Repository: github.com/SNENET/NyaBot

Documentation: github.com/SNENET/NyaBot-Docs

Work Experience

Infrastructure & AI Engineer — Education

2026 – Present

Working in the education sector with a focus on production infrastructure, application operations, and applied large language model research.

  • Participate in the design and development of a production-grade application operations and management platform.
  • Build and maintain network and application infrastructure supporting production services.
  • Work on deployment automation, application lifecycle management, service networking, and infrastructure reliability.
  • Research practical applications of frontier large language models in education.
  • Explore AI-assisted workflows across the complete product development lifecycle, including product planning, design, engineering, testing, and iteration.
  • Research the use of LLMs and agentic tools to improve collaboration and productivity across product, design, and engineering teams.

Chief Technology Officer (CTO) — Medical Education Technology Organization

Apr 2023 – Apr 2026 · 3 years

Led technical architecture and product development for AI-enabled medical education and training systems, spanning software, hardware, sensor data acquisition, analytics, and human-computer interaction.

  • Joined the organization when the team consisted of approximately 5 people, and played a major role in building and scaling the team to approximately 50 people.
  • Helped establish the team’s technical foundations, engineering practices, architectural direction, and cross-functional collaboration model.
  • Practiced and promoted Agile development and engineering management, continuously improving iteration, collaboration, delivery, and development processes.
  • Designed the overall system architecture and participated directly in the design of the product’s core technical framework.
  • Defined technical strategy and guided product direction, architecture evolution, and engineering priorities.
  • Led the design and development of integrated hardware-software systems for AI-assisted medical education and training.
  • Designed end-to-end pipelines covering sensor data acquisition, signal processing, data analysis, and interactive visualization.
  • Participated in the design of human-computer interaction systems that transformed real-time sensor and analytical data into actionable training feedback.
  • Researched continuous and dynamic performance indicators across the full medical education and training workflow.
  • Designed methodologies for evaluating and tracking training performance through multidimensional, time-series, and behavioral metrics.
  • Applied AI and data-driven techniques to training analysis, assessment, and guidance.
  • Worked across product, software, hardware, data, AI, and research disciplines.
  • Contributed to the formulation of relevant technical and industry standards for dynamic indicator monitoring and evaluation in medical education.
  • Provided technical leadership and architectural guidance while remaining directly involved in core system design and implementation.

IDC Platform Engineer

2022

Participated in the construction, operation, and management of a production IDC platform.

  • Participated in core platform infrastructure construction and operations.
  • Worked on infrastructure deployment, platform management, networking, service operations, and maintenance.
  • Supported the reliability and day-to-day operation of production infrastructure.

Technical Stack

  • Programming Languages: Go, C, C++, Rust, TypeScript, Python
  • Systems: Linux, Nix / NixOS, RHEL
  • Cloud Native & Infrastructure: Kubernetes, Terraform, Argo CD, GitOps, CI/CD, Infrastructure as Code
  • Networking: BGP, DNS, AS200720 holder
  • AI & HCI: LLM application and development, Agent workflows, Human-Computer Interaction

Interests & Hobbies

  • Open-source software and communities
  • Linux ecosystem
  • Nix / NixOS ecosystem
  • Computer networking
  • Embedded engineering
  • Cats
  • Animes

I enjoy my work and continuously explore emerging technologies, tools, and engineering practices.

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