ML / AI Engineer

Building production AI systems, live SaaS products, and practical solutions for emerging markets

I design and ship end-to-end machine learning and AI applications across finance, SaaS, healthcare, and automation. My work focuses on useful systems, clean deployment, and measurable business value.

View featured projects GitHub
nwannachumaclifford@gmail.com | LinkedIn | Portfolio
Focus
Finance, SaaS, AI Systems
Work style
Production-first and practical
Products
Live user-facing platforms
Community
Mentor and builder
Core strengths
Python SQL Azure OpenAI RAG FastAPI Streamlit Docker Azure
Live products
UpJobs.co and more

Shipping real AI products with active users and practical business use cases.

Domains
Finance, SaaS, healthcare

Experience across regulated and customer-facing environments.

Community
Mentor at Chessncode

Supporting aspiring data professionals with structured mentorship.

About

Built for practical AI delivery

I am an ML/AI Engineer with experience turning raw data into deployed systems that solve real business problems. My work spans model development, LLM applications, data pipelines, and product-oriented deployment.

Professional summary

ML/AI Engineer with 3+ years of experience building production-grade machine learning and AI systems across finance and SaaS environments. Specializes in scalable data pipelines, LLM-powered applications, and cost-efficient AI solutions for emerging markets. Proven ability to translate complex data into actionable insights and deliver end-to-end intelligent systems under real-world constraints.

Research interests

Applied Machine Learning in Emerging Markets Financial AI & Transaction Intelligence NLP & LLM Applications for Structured Data Low-cost AI Systems for SMEs Edge AI & IoT-integrated Intelligent Systems

Selected work

Live products and production systems

These are the projects that best represent the kind of engineer I am: product-minded, deployment-focused, and comfortable working across AI, data, and systems.

Flagship product

UpJobs.co

Live SaaS

A live AI-powered job discovery and matching platform with automated data pipelines, embedding-based recommendations, and real users.

  • Automated ingestion and cleanup of job listings
  • Embedding-based matching and ranking for relevant recommendations
  • Deployed on VPS with scheduled jobs and logging
Python SQL Embeddings Vector Search Cron Jobs VPS
Live site Case study request

RAG platform

Conversational Agent Builder

Production demo

A production-ready platform for building domain-specific AI chatbots using multi-source knowledge from files, text, and website content.

  • RAG workflow with embeddings and cosine similarity search
  • Knowledge ingestion from PDFs, text input, and scraping
  • Built with TypeScript, Next.js, and OpenAI
Next.js TypeScript RAG OpenAI Vector Search Vercel
Live demo Source code

SaaS product

Smart Attendance SaaS

Live system

An HR-focused attendance intelligence platform that processes biometric logs and generates reports, analytics, and exports for SMEs.

  • Authentication and licensing workflow for managed access
  • Automated file parsing, reporting, and dashboard generation
  • Built for low-cost deployment and practical SME use
Python Streamlit Supabase PostgreSQL PDF Export Analytics
Request demo GitHub

Enterprise AI

Transaction Recommendation System

Confidential

A banking AI system that converts raw transactional data into actionable insights for internal business and relationship teams.

  • End-to-end pipeline from extraction and EDA to deployment and monitoring
  • Built with Python, SQL, and Azure in a regulated environment
  • Designed for secure, governed, enterprise-scale usage
Python SQL/T-SQL Azure EDA Monitoring Governance
Discuss details See experience

Experience

Delivery across regulated and product-driven environments

AI / ML Engineer

WEMA Bank Plc

2025 – Present
Lagos, Nigeria
  • Developed and deployed AI systems, including a transaction recommendation engine and enterprise chatbot using Python, SQL, and Azure, generating actionable insights and supporting business teams at scale.
  • Led end-to-end analytics pipelines covering data extraction, EDA, feature engineering, machine learning, deployment, and monitoring.
  • Worked closely with IT, compliance, and product teams to deliver secure, well-governed AI solutions in a regulated environment.

AI / ML Engineer (Contract)

JéGO Technologies Limited

2025
Remote
  • Built machine learning models for electric vehicle route optimization and energy consumption prediction using real engineering data.
  • Applied predictive modeling, optimization, and data preprocessing to solve practical energy and mobility problems.
  • Collaborated in remote Agile teams, contributing to sprint delivery, code reviews, and system design across time zones.

Founder & Solutions Engineer

Ecotronics Enterprise

2022 – Present
Anambra, Nigeria
  • Built and launched UpJobs.co, a live AI-powered job matching platform with automated pipelines, embedding-based recommendations, and real users.
  • Built a RAG-powered Conversational Agent Builder enabling businesses to create AI chatbots using multi-source knowledge from files, text, and web content.
  • Designed and deployed scalable AI systems, delivering 20+ real-world AI, IoT, and automation solutions for SMEs and students using low-cost cloud and VPS infrastructure.

Skills

Tools and capabilities

Languages

Python, SQL (T-SQL), C++

Machine Learning

Scikit-learn, TensorFlow, Keras, Model Evaluation, Optimization and Tuning

LLMs and AI

Azure OpenAI, Prompt Engineering, NLP Pipelines, RAG, Embeddings, Vector Search, LangChain, AI Agents

Backend

FastAPI, Flask, REST APIs

Frontend

Streamlit, React, Tailwind CSS

Data and DevOps

PostgreSQL, Supabase, Azure Machine Learning, Azure AI Studio, Azure Functions, Docker, Git, GitHub, CI/CD, Cron Jobs, Logging and Monitoring

Community and leadership

Mentorship and practical impact

Mentorship

Mentored students on engineering and AI projects, delivering 20+ final-year solutions and guiding practical, real-world implementations.

Chessncode

Mentor at Chessncode, supporting aspiring data professionals through structured guidance in data science and career development.

Community building

Built and deployed practical AI and engineering solutions for SMEs through Ecotronics Enterprise, focusing on scalable impact in African markets.

Contact

Open to meaningful roles and collaborations

I am available for full-time roles, remote work, consulting, and product collaborations in AI, data, and applied machine learning.

Reach me directly

Email: nwannachumaclifford@gmail.com

LinkedIn: linkedin.com/in/cliffordnwanna

GitHub: github.com/cliffordnwanna

Portfolio: cliffordnwanna.github.io

Download CV Review projects

Quick profile summary

ML/AI Engineer with experience in finance, SaaS, and automation, building live products such as UpJobs.co and a RAG-based Conversational Agent Builder. Focused on shipping practical AI systems, supporting African businesses, and building the kind of work that demonstrates ownership, deployment skill, and product thinking.

This portfolio is intentionally built to highlight live products, enterprise experience, research interests, and community impact in one concise place.