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  • Littleton, Colorado
  • 02:48 (UTC -06:00)

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wckliment/README.md

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Hi, I’m Chase Kliment 👋

I design and stabilize production-grade AI systems.

Most teams can call an API. Few build systems that hold up under real conditions—multi-step workflows, unreliable data, external dependencies, and LLM behavior that needs to be controlled, validated, and made observable.

That’s where I focus.

What I Work On

  • Deterministic AI workflow orchestration (LLM planning + controlled execution)
  • Retrieval systems (hybrid search, reranking, explainability)
  • API orchestration and event-driven architectures
  • Stripe and webhook-based payment systems with safe, idempotent processing
  • Hardening fragile systems before they scale

Core Technical Areas

  • AI orchestration pipelines (planning, tool execution, validation layers)
  • Retrieval-augmented systems (BM25, vector search, reranking)
  • Event-driven backend systems & webhook validation
  • REST / GraphQL API design
  • Relational data modeling (Postgres/MySQL)
  • Python, Node.js, TypeScript
  • Observability, logging, and failure recovery

Selected Work

ikonPractice — Custom dental SaaS platform
Backend architecture, API integrations, and payment workflows for a production SaaS system.

MoodMe — Relationship intelligence platform (iOS + Android)
Worked on backend architecture and AI orchestration powering structured multi-stage LLM workflows and validation pipelines.

MoodJi Sports — AI Systems Platform (In Development)
Designing backend systems for multi-stage AI routing, deterministic processing layers, and structured tone/frequency mapping logic.

Personal Projects

These projects focus on building production-style systems—not demos.

Axon — Deterministic LLM Orchestration Engine

LLM generates structured plans. Runtime executes them deterministically with validation and full traceability.
→ https://github.com/wckliment/Axon

VectorMind — Production RAG System

Hybrid retrieval (BM25 + vector), MMR re-ranking, LLM reranking, and retrieval explainability with trace-level visibility.
→ https://github.com/wckliment/vectormind

Approach

  • Deterministic > clever
  • Observable > opaque
  • Systems > scripts

Notes

Due to NDAs, not all professional work is publicly visible. I’m happy to discuss architecture decisions, tradeoffs, and system design in detail.

🔗 LinkedIn: https://linkedin.com/in/wckliment

Pinned Loading

  1. vectormind vectormind Public

    Production-ready RAG system with hybrid retrieval, chunk-level citations, and retrieval explainability.

    Python

  2. BoundTogether BoundTogether Public

    A platform for exchanging books within a community.

    Python

  3. HomeHopper HomeHopper Public

    HomeHopper is a full-stack web application for finding and managing home rentals. It offers a seamless user experience for both property owners and renters. The application includes user authentica…

    JavaScript