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Open to work

Levi Chinecherem Chidi

AI Infrastructure Architect

Protocol Security Engineer / Enterprise AI Engineer / Blockchain Infrastructure Researcher

Intelligent infrastructure that makes software safer, AI systems more trustworthy, and blockchain ecosystems more secure.

18
Projects
36
Capabilities
6+
Years building
257
Approved claims
  • Python
  • React
  • Docker
  • TypeScript
  • FastAPI
  • Hardhat
  • Redis
  • Go
  • WebSockets
  • Solidity
  • LiteLLM
  • PostgreSQL
  • Foundry
  • SQLite
  • Celery
  • PyTorch
  • AWS S3
  • MongoDB

Selected work

A handful worth reading about

All 18

Capabilities

Every claim has work behind it

A skill on its own is an assertion. Each of these names the projects that demonstrate it, which is the difference between a list and an argument.

All 36 capabilities
  • FastAPI6 projectsDocAI, NDPS and FRC, SilkLLM, SALI UN
  • Go5 projectsSlideOps, Go-Python Toolchain, Zonn, OpenSMTP
  • AI infrastructure4 projectsSilkLLM, DocAI, Zonn, NDPS and FRC
  • Python4 projectsDocAI, Hawk-i, NDPS and FRC, Multimodal deepfake detection
  • MongoDB4 projectsNDPS and FRC, SALI UN, SlideOps, DockView
  • Deep learning and computer vision3 projectsMultimodal deepfake detection, Amaizing, OhiaVault

Currently

AI Infrastructure Engineer

SALI AI

Design, architect, develop, deploy, and maintain enterprise AI systems supporting ESG, sustainability, regulatory compliance, and government digital transformation. The work runs the whole length of a system, from the architecture through the build to the deployment and the years of maintenance after it, and across four platforms that share one AI layer. It also runs outward: product demonstrations, client workshops, and technical planning with the people who will use what gets built. Works alongside more than sixteen professionals across engineering, research, product management, and executive leadership, turning ideas from all of them into production software.

  • Designed and built DocAI, an internal platform that became the organisation's central AI layer across several enterprise products, and is now being expanded into a standalone platform with memory systems, shared AI services, knowledge management, and intelligent automation
  • Architected the backend of the NDPS and FRC regulatory platform supporting Nigerian government operations, covering AI integration, workflow automation, and regulatory intelligence
The full history

How this works

Discovery is automatic. Approval is not.

  1. 01

    Discovered

    Repositories are read on a schedule, credentials stripped before anything is stored, and turned into individual claims with their source attached.

  2. 02

    Reviewed

    Nothing reaches this site until a person decides it should. The system suggests how far a claim may travel; it never decides.

  3. 03

    Answerable

    Approved claims become the only thing 0xAsk can draw on. Ask it something outside them and it says so rather than guessing.

Two ways in

Same knowledge, two ways to reach it

Worth a conversation?

Open to AI infrastructure, protocol security, and enterprise AI engineering roles