Software engineering
Python, JavaScript, TypeScript, Java and PHP; debugging, testing, review and maintainable delivery.
Global IT Specialist
Engineering dependable systems. Evaluating intelligent technology.
Sunday Adetona Aderinto is a senior software engineer, AI technical evaluator and Computer Engineering researcher with more than a decade of experience across software architecture, full-stack delivery, secure APIs, data systems, infrastructure and technical education.
10+years in software and technology
100+learners trained and mentored
5core programming languages
Globalremote and international outlook
Professional profile
Technical depth with the judgement to challenge what appears correct.
Sunday works across the full software lifecycle: interpreting requirements, designing architecture, building applications, integrating services, modelling data, resolving defects and evaluating implementation quality.
His distinctive strength is expert technical judgement. He assesses whether code and technical explanations are logically sound, secure, maintainable, scalable and appropriate for real-world deployment—not merely whether they compile or appear plausible.
This combination of engineering practice, research and technical instruction supports senior software delivery, AI evaluation, research software engineering and technology leadership assignments.
Core expertise
An integrated technology capability
Web platforms
React, Next.js, TailwindCSS, Node.js, NestJS, Laravel and Spring-based systems.
APIs and data
REST, Swagger/OpenAPI, JWT, OAuth, PostgreSQL, MySQL, MongoDB and Prisma ORM.
Architecture
System design, distributed systems, microservices, scalability and performance optimisation.
AI evaluation
Expert review of generated code, technical reasoning, architecture and implementation choices.
Research
Federated learning, differential privacy, non-IID data, machine-learning systems and simulation.
Infrastructure
TCP/IP, DNS, HTTP, VPNs, firewalls, server administration, deployment and application security.
Technical leadership
Engineering standards, documentation, code review, mentoring and practical instruction.
Selected experience
Leadership and delivery across complex technology environments
2024 - PresentContract
Frontend Engineer · Sterling Bank VEER Project
Developing React and Next.js applications, integrating services and reviewing implementations for correctness, accessibility, security, maintainability and performance.
CurrentRemote contract
Full-Stack Engineer · Heritage E-Commerce Online
Designing e-commerce services, secure authentication, payments, REST APIs and optimised PostgreSQL data structures.
2024 - 2025Remote
Full-Stack Developer · Pathfound
Architected applications with Next.js, NestJS, PostgreSQL and Prisma; reviewed AI-assisted code for technical correctness and production readiness.
2017 - 2024Abuja
Lead Programmer · Altitude Technology
Led full-stack delivery, architecture, APIs, databases, automation, infrastructure, security, deployment, engineering standards and developer mentoring.
2012 - 2016Ogbomoso
Programmer and Technical Instructor · SQI
Trained more than 100 students and assessed programming, debugging, project implementation and technical reasoning.
Research direction
Trustworthy and privacy-preserving evaluation of AI-generated software
Sunday’s research direction connects software quality, expert evaluation, federated learning and differential privacy. It asks how organisations can evaluate and improve AI-generated code collaboratively without centralising sensitive repositories or proprietary engineering data.
Education
Master of Technology
Computer Engineering · Ladoke Akintola University of Technology · Research work in progress
Bachelor of Technology
Computer Engineering · Ladoke Akintola University of Technology · 2009
Thought leadership
Professional insight papers
Original practitioner papers connecting software engineering, trustworthy AI, distributed learning and technical leadership. Each paper is available to read, download and share.
Trustworthy Evaluation of AI-Generated Code
A multidimensional framework for correctness, security and production readiness.
Privacy-Preserving Federated Learning Under Non-IID Conditions
Design choices, evaluation risks and practical safeguards for distributed learning.
Secure API Architecture for Digital Platforms
A lifecycle approach to interface design, identity, resilience and controlled change.
Engineering Scalable Full-Stack Systems
A disciplined path from product requirement to dependable platform.
Human-in-the-Loop AI Technical Evaluation
Designing expert review systems that are consistent, efficient and accountable.
Building Production-Ready AI-Assisted Engineering Teams
Leadership, controls and capability for responsible adoption.
Professional enquiries
Start a focused conversation.
For senior technology roles, international projects, AI evaluation assignments, research collaboration, technical review or speaking enquiries, complete the confidential form.