Moses.

Curriculum Vitae

Moses Thomas

Full Name: Moses Naantagam Thomas · Alias: Xheen (Xheen Zhyfer)

Senior Full Stack Engineer & Applied Data Scientist

Moses Thomas (Moses Naantagam Thomas, professionally known as Xheen or Xheen Zhyfer) brings over five years of applied engineering experience delivering resilient, production-ready software systems across web platforms, cloud backends, and data intelligence workflows. With an academic foundation in Industrial Mathematics and Statistics from the Federal University of Technology, Moses combines mathematical rigor with deep practical engineering in TypeScript, Python, Next.js, and distributed PostgreSQL. Known for architecting production AI platforms such as Agatha Career Intelligence and SupportIQ, he specializes in turning complex organizational workflows into sub-second, highly available digital products.

Experience

2024 — Present

Lead Full Stack & AI Systems Engineer

Studio & Independent Client Engagements (Xheen Solutions)

Architecting and shipping end-to-end commercial software systems including AI-powered career workflow platforms (Agatha Career Intelligence), enterprise documentation search engines (SupportIQ RAG), and headless commerce systems. Driving technical direction from database schema design and vector embedding pipelines to edge-rendered React interfaces with sub-second response times.

2023 — 2024

Applied Data Scientist & Full Stack Engineer

Mentorness / CareerEX

Engineered scalable data extraction and predictive modeling pipelines. Designed feature engineering workflows and production machine learning classifiers in Python (scikit-learn, pandas). Built executive BI reporting dashboards that transformed complex datasets into verifiable operational decision tools for leadership.

2022 — 2023

Software & Data Analytics Consultant

Independent Practice

Delivered web applications and transactional database architectures for international clients. Implemented authenticated APIs, role-based security access, automated database migrations, and performance-tuned SQL queries supporting high-concurrency client workloads.

Education

2018 — 2024

B.Tech in Mathematics (Industrial Mathematics & Statistics)

Federal University of Technology

Rigorous training in Applied Statistics, Numerical Analysis, Software Engineering, Algorithm Optimization, and Computational Data Structures.

Certifications

AWS Certified Cloud Practitioner · Amazon Web Services (AWS) · 2024

Google Data Analytics Professional Certificate · Google / Coursera · 2023

Software Engineering Professional Certificate · Power Learn Project (PLP Academy) · 2024

Skills

Full Stack & Web Systems

  • TypeScript & JavaScript (ESNext)
  • Next.js (App & Pages Router)
  • React 19 & TanStack Start
  • Node.js & Edge Runtimes
  • Tailwind CSS (v3 & v4)
  • REST, GraphQL & tRPC APIs

Database & Cloud Architecture

  • PostgreSQL & Neon Serverless
  • PGLite (Embedded WASM Postgres)
  • Kysely & Prisma ORMs
  • Docker & Containerization
  • Vercel, AWS & Cloudflare Deployments
  • CI/CD Automation & GitHub Actions

AI, RAG & Data Science

  • Google Gemini & OpenAI APIs
  • RAG Architecture & Vector Stores
  • Supabase Vector & pgvector
  • Python, pandas & NumPy
  • scikit-learn & Predictive ML
  • Power BI & Executive SQL Dashboards