Chukwuma Clifford Nwanna

AI Systems Engineer · Lagos, Nigeria

Building production AI systems that combine software engineering, cloud platforms, embedded systems, and intelligent automations.

Work

LivePortfolio

Technical professionals often have impressive experience but struggle to present it in a structured and compelling way. Traditional resumes are static, personal websites are difficult to maintain, and many portfolios fail to explain the engineering decisions behind projects. LivePortfolio was built to make it easier for professionals to document, organize, and showcase their work.

I designed and built an AI-powered portfolio platform that helps professionals create and maintain a living portfolio throughout their careers. The platform allows users to document projects, organize work experience, showcase technical skills, publish professional profiles, and so much more. It also provides portfolio analytics, customizable themes, QR sharing, and MCP integrations. Rather than functioning as another website builder, LivePortfolio is designed to become a professional operating system that grows alongside a user's career while making technical achievements easier to communicate.

Next.js
Supabase
Python
Typescript
PostgreSQL

Visit project LivePortfolio

LivePortfolio provides professionals with a centralized platform for presenting their work while giving employers, recruiters, and collaborators a clearer understanding of their experience beyond a traditional resume. The project also serves as the foundation for several future AI-powered career development features.

BodyBalance.AI

Clinics spend significant time answering repetitive enquiries, qualifying potential patients, and manually managing appointment requests. Many small clinics lack affordable software designed specifically for their workflow.

BodyBalance.AI is a multi-tenant AI platform built specifically for physiotherapy and rehabilitation clinics. The platform combines an AI assistant with clinic management tools to help practices answer patient questions, qualify enquiries, recommend appropriate services, support appointment booking, and manage clinic operations. Behind the scenes, each clinic operates within its own secure workspace with isolated data, configurable AI knowledge, therapist management, service configuration, appointment workflows, and organization settings.

Next.js
FastAPI
Supabase
LangGraph
RAG

Visit project BodyBalance.AI

The platform reduces repetitive administrative work, improves response times for prospective patients, and gives clinics a scalable foundation for delivering AI-assisted patient engagement without requiring dedicated technical staff.

GATEMAN

Many attendance systems depend entirely on manual registers or expensive enterprise hardware. Smaller organizations need an affordable system that combines identity verification, attendance tracking, and cloud reporting without sacrificing reliability.

GATEMAN is an RFID attendance and access management platform that combines embedded hardware with cloud software. The solution integrates ESP32-based hardware, RFID authentication, secure device provisioning, cloud synchronization, attendance reporting, and a web dashboard for administrators. The system was designed as a complete hardware-software product where embedded devices communicate securely with cloud services while supporting offline operation, device enrollment, and multi-organization deployment.

ESP32
Arduino
Supabase
FastAPI
Embedded Systems

Visit project GATEMAN

The project demonstrates how embedded systems and cloud software can be combined into a practical commercial product while exploring secure IoT communication, offline synchronization, and scalable device management.

Finance Intelligence

Bank transaction data contains valuable insights, but most people find it difficult to understand large CSV exports or identify meaningful spending patterns without manually analyzing the data.

Finance Intelligence is an AI-powered financial analytics application that transforms raw transaction history into clear insights and interactive visualizations. Users can upload transaction data and instantly receive categorized spending analysis, charts, summaries, and AI-generated explanations that make financial behaviour easier to understand. The project combines data engineering, machine learning, natural language processing, and visualization into an accessible application for non-technical users.

Python
Streamlit
Pandas
Plotly
Machine Learning

Visit project Finance Intelligence

The application demonstrates how AI can simplify financial analysis by converting complex transaction data into actionable information that supports better financial decision-making.

Jarvis

Most AI assistants operate as isolated chatbots with limited memory and little awareness of long-term context, making them unsuitable for supporting ongoing engineering and knowledge work.

Jarvis is an experimental AI operating system designed to explore what a truly context-aware personal assistant could become. The project investigates long-term memory, modular AI agents, workflow automation, retrieval systems, and persistent context to create an assistant capable of supporting everyday technical work. Jarvis serves as a research platform where new AI ideas can be explored before being applied to production systems.

Python
LangGraph
FastAPI
RAG
Docker

Visit project Jarvis

The project provides a practical environment for experimenting with agent architecture, memory systems, and AI workflows while informing the design of future production products.

Hybrid Powered Surveillance System

Monitoring large examination halls is difficult using fixed surveillance systems alone. Institutions need a mobile solution capable of increasing visibility while reducing opportunities for examination malpractice.

I led a six-member engineering team in designing and developing a solar-powered autonomous surveillance rover for examination monitoring. The rover combines embedded firmware, ultrasonic obstacle avoidance, RF detection, renewable energy, and live IP camera streaming within a mobile robotic platform capable of autonomous navigation. My responsibilities included system architecture, hardware integration, firmware development, testing, project coordination, and technical documentation.

Arduino
Embedded Systems
Robotics
AutoCAD
Renewable Energy

Visit project Hybrid Powered Surveillance System

Experience

Mar 2025 – Present

AI/ML Engineer

Wema Bank Plc

Design and build production AI and analytics systems that support customer intelligence, operational decision-making, and internal productivity across the bank.

Sep 2022 – Feb 2025

Service Engineer

Coscharis Medical and Foods Limited

Installed, commissioned, maintained, and repaired advanced medical equipment across hospitals, diagnostic centres, research laboratories, and healthcare facilities throughout Nigeria.

Jun 2022 - Present

Founder

Ecotronics Enterprise

Founded Ecotronics Enterprise to design and build intelligent software and embedded systems that solve practical business problems.

About

Clifford Nwanna is an Engineer who builds intelligent products by combining AI, software, electronics, and engineering. He enjoys solving complex real-world problems, turning ideas into practical systems, and creating products that generate lasting value. His long-term goal is to build a portfolio of impactful technology businesses that provide both freedom and measurable benefit to the people who use them. Over the past few years, He has worked on projects across banking, healthcare, IoT, robotics, and enterprise software. These range from enterprise AI platforms and intelligent analytics systems to healthcare applications, embedded devices, and cloud-native SaaS products.

He is particularly interested in taking ideas from prototype to production. Designing systems that are reliable, maintainable, and simple to operate.

Current areas of focus include: • Production AI Systems • Intelligent SaaS Products • Enterprise AI • Embedded & IoT Systems • AI Agents • Cloud Applications

Outside his full-time role, He build products through Ecotronics Enterprise, where he developed platforms including LivePortfolio, BodyBalance.AI, GATEMAN, and other intelligent software products.

Skills

Programming Languages. Python, SQL. Cloud Platforms. Azure ML, Synapse Analytics, Azure OpenAI, Azure App Service. Frameworks. FastAPI, LangChain.