Software Engineer Building Practical Intelligent Systems
Building intelligent software systems across machine learning, Generative AI, RAG, backend engineering, and cloud technologies. I apply engineering principles and software architecture to build reliable, data-driven solutions for complex operational and technical problems.
About Me
I’m Adewale Afolabi Adeniyi, A software engineer . My background combines engineering, artificial intelligence, and software development, giving me a systems-oriented approach to solving technical problems. I’m continuously developing my skills across AI/ML, software engineering, and cloud technologies, with a particular interest in applying these areas to real-world engineering and operational challenges. I enjoy learning new technologies, working on challenging problems, and turning what I learn into practical solutions.
What I Build
I build applications that solve practical problems, from AI Retrieval-Augmented Generation systems for industrial maintenance to AI-powered learning and energy management platforms. I also work across backend development, APIs, databases, containerization, CI/CD, and cloud deployment.
Professional Summary
I am an AI-focused software engineer with an engineering background, building intelligent applications, backend systems, and cloud-deployed software.
I work across Machine Learning, Generative AI, RAG, APIs, databases, and cloud technologies, using Python, Go, and JavaScript to solve real-world problems across engineering, education, and energy.
My interests include AI for engineering systems, trustworthy AI, scientific machine learning, and optimization, with a focus on building reliable, practical solutions.
Software Engineering First. AI Where It Helps.
My engineering background taught me to start with the problem, understand the system, and then choose the right technical approach. I bring the same mindset to AI engineering.
Whether I am building a maintenance assistant, an educational platform, or an energy management system, I care about reliable data, useful outputs, system architecture, and making sure the technology actually solves the problem it was built for.
Technical Skills
AI & Machine Learning
Programming & Frameworks
AI & Data Tools
Backend, Databases & APIs
Cloud & DevOps
Engineering & Reliability
Featured Projects
Ràtech | Full-Stack Microservices Ecommerce Platform
Designed and developed a full-stack e-commerce platform for technology products, built around independently deployable microservices. Implemented authentication, product management, and order processing with dedicated databases and inter-service communication. Configured cloud deployments, environment management, and service routing using an API gateway, demonstrating practical experience in backend engineering, distributed systems, and DevOps.
CreditLens
An AI-powered credit risk assessment platform that predicts loan default probability using a machine learning model trained on the Home Credit dataset. It features an interactive dashboard for exploring credit risk insights, assessing applicants, and understanding predictions.
MaintainAI
A RAG-powered maintenance assistant designed to help maintenance teams retrieve information from historical work orders and inventory data. The system combines semantic retrieval with structured inventory lookup to reduce unsupported AI responses.
WattSmart Naija (AI-Powered Energy Management Platform)
An AI-powered energy management platform for Nigerian households and SMEs. It combines deterministic energy calculations with Gemini to generate personalized energy audits, cost analysis, and solar investment recommendations.
Cloud & DevOps Personal Portfolio
A production-oriented portfolio application demonstrating containerization, CI/CD, cloud deployment, health checks, automated builds, monitoring, and deployment workflows.
Infrastructure as Code
Terraform-based infrastructure work focused on repeatable cloud provisioning, EC2 and S3 deployment, security configuration, and automated infrastructure workflows.
Professional Experience
AI Engineering Fellow
Feb 2026 – PresentTalent Nation | Lagos, Nigeria
- Building software and AI solutions using Go, Python, JavaScript, Linux, Docker, and cloud technologies.
- Participating in rapid-cycle engineering projects and hackathons focused on solving practical problems.
- Working across backend development, AI integration, APIs, databases, deployment, and system reliability.
- Collaborating through Git-based workflows, code reviews, and structured software development practices.
AI Engineering Intern
Nov 2025 – Jan 2026Incubator Hub | Lagos, Nigeria
- Selected as one of 500 interns from 18,000+ applicants, placing in the top 2.7%.
- Worked on an industrial ERP solution focused on plant job planning, part tracking, and operational efficiency.
- Developed AI applications using Large Language Models and Retrieval-Augmented Generation techniques.
- Worked with Hugging Face models and AI pipelines for technical problem solving and information retrieval.
- Explored full-stack AI integration, inference optimization, and reliable data retrieval.
Mechanical Planner Support
Aug 2024 – Aug 2025Lafarge Africa, Ewekoro Plant II | Nigeria
- Supported maintenance planning for industrial equipment including conveyors, vertical raw mills, elevators, and other plant systems.
- Supported more than 150 work orders per month and achieved approximately 95% on-time Gantt completion.
- Used SAP and maintenance documentation to support work planning, scheduling, spare-parts tracking, and execution.
- Applied engineering knowledge in maintenance planning, reliability, equipment diagnosis, and operational support.
Education
Bachelor of Mechanical Engineering (First Class Honors)
Lagos State University, Ojo | Feb 2018 – Feb 2024
CGPA: 4.53/5.00 | Class Rank: 3/75
Focus: Engineering systems, operational research, Python programming, statistics, project management, and engineering analysis.
AI Engineering Fellowship (Talent Nation)
Learn2Earn | Feb 2026 – Present
Competitive selection: Top 2.8% of 26,000+ applicants
Focus: Artificial intelligence, machine learning, software engineering, backend development, cloud computing, DevOps, and building practical technology solutions through hands-on projects.
Generative AI Engineering Internship (Incubator Hub)
Incubator Hub | Nov 2025 – Jan 2026
Competitive selection: Top 2.7% of 18,000+ applicants
Focus: Generative AI, Large Language Models, RAG, Hugging Face, AI application development, backend integration, and building practical AI solutions for real-world use cases.
Professional Communities
NVIDIA Developer Community
AI, machine learning, accelerated computing, and developer technologies.
IBM Developers Community
Software engineering, cloud technologies, and enterprise development.
Google Developer Groups
Developer technologies, cloud platforms, and technical community learning.
Postman Community
API development, testing, documentation, and backend workflows.