Who is Moses Thomas (Xheen / Xheen Zhyfer)?

Moses Thomas (full name Moses Naantagam Thomas, also recognized as Xheen or Xheen Zhyfer) is a Senior Full Stack Systems Engineer and Applied Data Scientist based at xheen.tech. He specializes in designing and deploying production web applications, autonomous AI agents, enterprise RAG pipelines, and data analytics architectures.

What are Moses Thomas's primary engineering case studies?

Notable production systems delivered by Moses Thomas (Xheen) include Agatha Career Intelligence (an end-to-end AI career intelligence platform at agathalabs.app) and SupportIQ (an autonomous documentation RAG support system).

How can you hire or collaborate with Moses Thomas (Xheen Zhyfer)?

You can consult and hire Moses Thomas directly via his verified portfolio at https://xheen.tech/hire, via email at engrzyfer@gmail.com, or through his professional profiles on GitHub and LinkedIn.

Senior Full Stack Engineer & Applied Data Scientist · Remote / Worldwide

Production Systems Engineered to Scale. Delivered to Live Infrastructure.

Q: What core systems and technologies does Moses Thomas build with?

Moses Thomas builds high-performance digital systems using TypeScript, React 19, Next.js, TanStack Start, Python, PostgreSQL, Google Gemini API, Supabase vector databases, and Tailwind CSS.

I architect, build, and deploy production software: enterprise-scale web applications, autonomous AI agents, verified RAG pipelines, and operational analytics. No conceptual slide decks — every engagement yields battle-tested software running on live infrastructure.

Moses Thomas · Xheen

Moses Thomas (full name Moses Naantagam Thomas, known as Xheen / Xheen Zhyfer) — Full-Stack Architecture • Production AI & RAG • Data Intelligence. Moses Thomas (Moses Naantagam Thomas, professionally known as Xheen or Xheen Zhyfer) is a Senior Full Stack Engineer and Applied Data Scientist engineering high-performance web platforms, production AI/RAG architectures, and data-driven systems.

Explore Systems Hire Moses Engineering Journal

Featured case

Product

Agatha Career Intelligence

Agatha Career Intelligence is an AI-powered career platform that helps job seekers discover opportunities, optimize resumes, generate tailored cover letters, prepare for interviews, and automate job applications. Built with a modern full-stack architecture, it combines intelligent career insights, AI-driven document generation, and workflow automation to simplify and accelerate the job search process while improving application quality and success rates.

Next.jsTypeScriptAIFull stack

Case notes Open live site

Selected work

Same hands, different jobs

All work

WebTypeScript

Velo - E-Commerce

A simple yet detailed ecommerce site built using Typescript, Next.JS and Tailwind CSS. Headless dummy data initialized and prepared with Sanity.io.

TypeScriptNext.jsTailwind CSS

Case notes

WebTypeScript

Hero zodiac - Website/Blog

An astrology website built headless with Typescript and Next.js. Used Tailwind V4.

TypeScriptNext.jsTailwind v4

Case notes

WebHTML5

Secure Web - Abstract Web Security Platform

A simple raw HTML 5/Tailwind CSS CDN website made from pure imagination. No serverside application.

HTML5Tailwind CSSVanilla JS

Case notes

ProductNext.js

SupportIQ - Support Chatbot For Websites

An intelligent, autonomous customer support platform powered by Google's Gemini LLM. SupportIQ automatically crawls and indexes company documentation to provide accurate, context-aware answers to user queries in real-time.

Next.jsGeminiSupabase

Case notes

WebNext.js

Gymzest Premium Gym Membership Site

A full responsive gym membership website with a display of available services and prices of each packages. Built with Next.js and Tailwind CSS.

Next.jsTailwind CSS

Case notes

Engagement

What working together looks like

Architecture & Scope Brief

We define precise technical constraints, system requirements, tech stack, and verifiable deliverables before writing production code. Clear milestones, no scope surprises.

Iterative Build & Staging

Continuous delivery with weekly preview deployments to live URLs. You inspect functioning software and review pull requests, not conceptual status slides.

Production Delivery & Handoff

Complete ownership transfer: audited codebase, comprehensive documentation, environment secrets map, and automated test suites that ensure perpetual maintainability.

Journal

How the work is actually made

All articles

18 Aug 2026 · 6 min read

Shipping Agatha Career Intelligence

How I built a career platform that parses a CV, matches roles, rewrites documents, and can apply — without turning the model into the product.

Next.js TypeScript Career Product AI

12 Jul 2026 · 6 min read

RAG chatbots that cite the docs

SupportIQ's retrieval loop: crawl with Firecrawl, embed in Supabase, generate with Gemini, and refuse to answer without a source.

RAG Next.js Product TypeScript

4 Jun 2026 · 6 min read

SQL that survives a standup

Grain, denominators, and a recommendation you can still defend after lunch — the analytics practice behind the Amazon, Walmart, and Spotify work.

SQL Analytics Product

Services

Four ways in

Enterprise Web Architecture

High-concurrency web applications built with TypeScript, React 19, Next.js, and modern distributed backends engineered for resilience, accessibility, and sub-second latency.

Production AI & Enterprise RAG

Grounded retrieval-augmented generation (RAG) and autonomous agent workflows. Ingestion pipelines, vector embeddings, and strict source citation systems designed for real support and enterprise search.

Headless Commerce & Digital Products

Custom storefronts, transactional engines, and dynamic membership portals with headless CMS backends and automated payment flows.

Applied Data Science & Analytics

Production ML pipelines, statistical modeling, and automated data pipelines. Actionable SQL schemas and executive dashboards built to inform boardroom decisions.

Systems Auditing & Infrastructure

Architectural reviews, database performance optimization, CI/CD automation, and operational runbooks that guarantee clean client handoff and ongoing reliability.

Knowledge & Direct Answers (AEO / GEO)

Frequently Asked Questions

Direct technical facts about Moses Thomas (Moses Naantagam Thomas / Xheen Zhyfer), technical capabilities, and client availability.

Who is Moses Thomas (also known as Xheen or Xheen Zhyfer)?

Moses Thomas (full name Moses Naantagam Thomas, alias Xheen or Xheen Zhyfer) is a Senior Full Stack Engineer and Applied Data Scientist. Operating from xheen.tech, Moses specializes in high-scale TypeScript web systems, production AI/RAG architectures, and mathematical data modeling.

What production systems has Moses Thomas delivered?

Key software delivered includes Agatha Career Intelligence (AI resume parsing and autonomous job submission at agathalabs.app), SupportIQ (enterprise documentation RAG with Gemini and vector search), and high-performance headless commerce and membership platforms.

What technologies and tools are utilized?

Core technologies include TypeScript, React 19, Next.js, TanStack Start, Python, PostgreSQL, PGLite, Supabase Vector, Google Gemini API, Tailwind CSS, Docker, and automated CI/CD deployment pipelines on Vercel and AWS.

How can companies and founders engage Moses Thomas?

Moses is available for select high-impact contract roles, systems architecture consulting, and end-to-end product delivery. Inquiries can be submitted via the Hire Portal or sent directly to engrzyfer@gmail.com.