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Wilson Gichuhi
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Wilson Gichuhi

Systems Engineer

I build the integrations, orchestration layers, and data pipelines that make AI useful in production workflows—bringing reliable software design and robust infrastructure to connect capability models with real business operations.

Experience

Sept 2026 - Present

Co-founding Engineer, CareWeave

  • Co-founded a provider-side revenue integrity system that helps hospital billing and insurance teams resolve financing exceptions across HMIS platforms, payer workflows, documents, and operational follow-up.
  • Designed an event-sourced revenue-matter model and deterministic evaluation pipeline that preserves provenance across source observations, payer requirements, evidence, exceptions, actions, and outcomes.
  • Built Billie, a governed human-in-the-loop agent layer that uses contextual evidence to prepare next actions while enforcing version-bound proposals, stale-state detection, explicit review, and operational guardrails.
  • Built signed ingestion, normalization, durable queue and outbox processing, tenant-scoped APIs, and workflow-capture tooling for hospital systems where direct API integration is unavailable.

03/2026

Builder and AI Systems Engineer, Promco

  • Building Promco, the commercial decision layer for distributors. It captures operational judgment between conversation and commitment, transforming WhatsApp conversations into structured, commercially reviewable commitments before downstream execution.
  • Designed durable workflow orchestration, explicit state machines, and human-in-the-loop approval systems for high-trust commercial operations.
  • Built AI evaluation, retrieval, validation, and tool execution infrastructure that grounds decisions in live business context while maintaining traceability, explainability, and operational safety.

5 months

AI Evaluation Engineer (Contractor), Bespoke Labs

  • Contributed task authorship to OpenThoughts, Bespoke Labs' open reasoning dataset initiative, producing curated training data for small reasoning models in collaboration with Stanford, Berkeley, and UT Austin.
  • Designed and authored Terminal Bench style agentic coding tasks in the Harbor format, covering concurrency bugs, semaphore leaks, and write-ordering failures across real-world TypeScript and healthcare system scenarios. Owned the full pipeline from environment setup through oracle verification.
  • Applied Bespoke-MiniCheck for claim-level factual grounding in evaluation pipelines, using NLI-based verification alongside LLM-as-judge methods to improve signal reliability in automated test suites.

08/2025

AI Training and Model Evaluation Engineer, AfterQuery

  • Conducted frontier model evaluations for logic correctness, security, and infrastructure workflows.
  • Built Project Anvil evaluation environments using base snapshots, gold patches, and automated oracles.
  • Created Terminal Bench v2 tasks for concurrency bugs, security vulnerabilities, and infra debugging.

02/2025 - 09/2025

Backend Engineer, Alcora

  • Architected a multi-tenant headless ERP with real-time stock and demand intelligence.
  • Built payment rails with automated debt reconciliation across brands, distributors, and retailers.
  • Reduced promotional wastage by 40% with promo cost versus incremental gross profit tracking.

05/2024 - 07/2025

Founding Engineer, AfyaTelemed

  • Architected a telemedicine platform across triage, consultations, pharmacy, and lab integration.
  • Built secure video consultation with WebRTC and payment processing across local and international gateways.

04/2024 - 10/2024

Software Engineer, McSystems & Medical Inc.

  • Architected a CRM with voice-to-CRM logging, reducing manual data entry by 70%.
  • Rebuilt a legacy PHP medical sales marketplace into an offline-first Next.js platform.

Projects

Neo4j, Vector Embeddings, Liteparse, Low-latency Voice Agents, Human-in-the-loop Validation

Splice : AI-Native Healthcare Coordination Platform

An AI-native platform that transforms fragmented, unstructured healthcare documents (images, referrals, scanned PDFs) into a grounded knowledge graph using vector embeddings and relationship-native reasoning. Automates provider-payer loops with low-latency voice agents and human-in-the-loop validation, building institutional memory that reduces referral delays and claim denials.

Python, FastAPI, Effect-TS, LiveKit, Cartesia, VLM-based Agentic Automation

Taji : Real-Time AI SDR

A 24/7 AI agent that joins video calls to deliver multilingual, interactive product demos. Drops into any SaaS product to navigate it via VLM-based agentic automation, qualifying leads and booking follow-ups directly in your CRM and calendar. Built on LiveKit and Cartesia

Python, SQLite, PostgreSQL, Event Sourcing, Content-Addressed Storage

CVCS : AI Cognition Version Control System

Built an event-sourced control plane that versions AI context, decisions, and human corrections as portable, tamper-evident history. Supports governed correction-to-rule workflows and causal replay across interchangeable model runtimes.

Tools & Skills

Languages

TypeScript, Go, Python

Frontend

React, Next.js

Backend

FastAPI, Effect-TS, REST & GraphQL APIs, Workflow orchestrations, enterprise integrations

AI Engineering

Document Intelligence, Agentic Workflows, Context Graphs, AI Evals, MCP & A2A, Harness Engineering

Data

PostgreSQL, SQL & OLAP, Graph DBs, Vector DBs

Automation & Integrations

Playwright, Browser Automation, API Integrations, Event-Driven Systems

Infrastructure

Docker, Kubernetes, Cloudflare Workers

Education

BSc. Computer Technology, JKUAT University. 2018 - 2023.