
FAQ knowledge agent for web experiences
Core stack
- • Python + LangChain
- • ChromaDB vector search
- • n8n workflow automation
Impact
- • < 2s FAQ response time
- • 90%+ relevant answers
- • Easy PDF ingestion flow
I build the systems that connect code, data, automation, and AI. I design backend services, multi-system integrations, event-driven webhook architectures, and automated data pipelines using Node.js, Python, n8n, and modern AI infrastructure.
➤ Host: Localhost:8000 // Database: Active
◆ Manvelle Menswear PRODUCTION ENGINE
~70% reduction in manual operations via multi-modal GPT-4o state streams.
◆ DATAOPS SEEDING PIPELINE
Cloudflare Edge Workers processing high-volume CSV scrubbing into Confluence API hooks.
◆ LOCALIZED RAG CLUSTER
Python-driven semantic querying pipeline running over localized ChromaDB vector indexes.
/* FEATURED SYSTEMS */
Featured Work
A selection of projects that showcase my expertise in building scalable systems and automation.

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Key capabilities
System Profile
I turn disconnected tools and manual operations into reliable workflows. The focus is not only on shipping an integration, but making it observable, maintainable, and useful to the people who run it.
$ engineering_principles
reliable inputs → clear state → traceable outputs
Core Stack
01 / Backend + APIs
Backend logic, webhooks, payload validation, and API contracts that keep systems communicating predictably.
02 / Automation
Event-driven n8n workflows that connect teams, tools, and operational processes without fragile manual handoffs.
03 / AI Systems
Retrieval, automation, and human handoff patterns designed to make AI useful inside real operating environments.
04 / Data Operations
Data normalization, audit-friendly status updates, and pragmatic monitoring around every critical workflow.
Experience Log
// production experiences
commit 7f3a91c
Author: Samuel Kyere <visual@alpha.com>
Date: Jan 2023 - Jan 2026
Owned the engineering and automation layer across data pipelines and AI-assisted tooling, taking systems from ingestion and processing through validation and quality control.
3 files changed, 214 insertions(+), 58 deletions(-)
commit 4d82c6e
Author: Samuel Kyere <samuelkyere@microverse.com>
Date: March 2022 - Dec 2022
feat(experience): Code Reviewer @ Microverse
Evaluated production-style applications and capstone projects against technical specifications, code-quality standards, and architectural requirements.
6 files changed, 142 insertions(+), 37 deletions(-)
commit 2b88e4d
Author: Samuel Kyere <samuel@eziticket.com>
Date: Apr 2021 - Dec 2021
feat(experience): Backend Engineer @ eziticket
Designed and built the backend infrastructure for a mobile ticketing MVP, translating insights from user interviews at bus terminals into a functional booking and ticketing system.
5 files changed, 168 insertions(+), 22 deletions(-)
Engineering Notes
Short notes on reliable automation, integrations, and practical AI systems.
Integration Patterns · 3 min read
A practical guide to choosing pull-based APIs or event-driven webhooks based on how a system's data changes.
Read article →JavaScript Fundamentals · 4 min read
A clear walkthrough of reference errors, scope, declared values, and the debugging difference between these two terms.
Read article →AI Systems · 8 min read
Why reliable workflows need different design choices when the task moves from repeatable execution to judgment and ambiguity.
Read article →Connection Ready
Have a process that could be automated or a system that needs building? Let's talk, I'm open to engineering roles and automation collaborations.
status: Available for collaborations
location: Accra, Ghana · preference: Open to remote, hybrid, or onsite