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Nwatu

Solution architect

Розглядає посади:
Solution architect, Fullstack Developer, AI engineer, Technical support specialist, Administrator, Community manager
Вік:
27 років
Місто проживання:
Київ
Готовий працювати:
Дистанційно

Контактна інформація

Шукач вказав телефон та ел. пошту.

Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.

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NWATU NELSON NZE-EZUE
London, UK
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
Portfolio: midnightx-nj.vercel.app
GitHub: github.com/3th-enjay

PROFESSIONAL SUMMARY
Full-Stack Software Engineer with 3+ years of experience building production web applications using React, Next.js, TypeScript, Node.js, and PostgreSQL.
Strong experience in full-stack development, API design, database architecture, and real-time systems. Proven ability to own features end-to-end, from database schema design to frontend UI and deployment.
Experience integrating AI features including LLMs, RAG pipelines, and vector databases. Currently building systems with .NET, RabbitMQ, and event-driven architecture to support scalable distributed applications.

TECHNICAL SKILLS
Programming Languages: JavaScript, TypeScript, Python (basic), C# (.NET) (basic)
Frontend Development: React, Next.js (SSR, App Router), Tailwind CSS, HTML, CSS
Backend Development: Node.js, Express.js, REST API development, .NET (ASP.NET Core), gRPC (basic)
Databases: PostgreSQL (schema design, migrations, indexing, joins, transactions), MongoDB
Messaging & Async Processing: RabbitMQ (queues, retries, dead-letter queues), Bull queues, Redis
AI / Machine Learning: LLM integration, RAG (Retrieval-Augmented Generation), LangChain, Vector Databases (Chroma, Pinecone), Prompt Engineering
Testing: Jest, Playwright, Cypress (basic)
DevOps & Tools: Git, GitHub, GitHub Actions (CI/CD), Docker (basic), Vercel
Architecture: Microservices, event-driven architecture, distributed systems, real-time systems (Socket.io, SignalR concepts)

PROFESSIONAL EXPERIENCE
Wealth of Knowledge Educational Services
Head of IT, Web Development and AI Instructor
2025 – Present
• Developed and deployed full-stack web applications using React, Next.js, Node.js, and PostgreSQL for 200+ users
• Designed and optimized PostgreSQL database schemas using Drizzle ORM (migrations, joins, indexing, transactions)
• Built REST APIs and backend services for authentication, data processing, and application logic
• Implemented real-time functionality using Socket.io (WebSocket-based systems)
• Built AI-powered features including automated recruiter systems and data-driven workflows
• Designed modular backend architecture aligned with microservices and event-driven patterns
• Integrated third-party APIs and external services

Learnable Web3 Program
Web3 Mentor
2025
• Taught backend development, API design, and asynchronous programming concepts
• Guided developers in building scalable and maintainable applications

HNG Internship
Frontend Developer Intern
2024
• Developed frontend interfaces using React and TypeScript
• Integrated REST APIs and handled asynchronous data flows
• Improved performance using debouncing and optimized state management

Zenda AE Farms
Production and Innovation Assistant
2024
• Built inventory management system using PostgreSQL and Node.js
• Designed relational database schema with indexing and foreign keys
• Implemented transaction handling and data integrity controls

BLUALPHA / Evrisale
Research Assistant
2021 – 2024
• Developed internal dashboards using React
• Implemented logging and monitoring features

UHRS
AI QA Rater
2021 – Present
• Evaluated large language model (LLM) outputs and system performance
• Gained practical experience in AI systems and model behavior
• Applied insights to building AI-powered applications and RAG pipelines

PROJECTS
Event-Driven Task Processor
Technologies: .NET, PostgreSQL, RabbitMQ
• Built event-driven system using RabbitMQ message queues
• Implemented retry mechanisms, failure handling, and dead-letter queues
• Demonstrates asynchronous processing and distributed system design

AI Document Question Answering System (RAG)
Technologies: Python, LangChain, ChromaDB
• Developed retrieval-augmented generation pipeline using vector search
• Integrated LLM responses with structured document retrieval

Student Result Management System
Technologies: React, Node.js, PostgreSQL
• Built full-stack application with PostgreSQL database
• Implemented schema design, queries, and secure data handling
• GitHub: https://github.com/3th-Enjay/e-result-checker

EDUCATION
AltSchool
Diploma in Software Engineering

ADDITIONAL INFORMATION
• Strong ownership mindset with ability to deliver features independently
• Experience working in remote and asynchronous teams
• Strong problem-solving and debugging skills
• Clear written and verbal communication (English – B2+)

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