Available for selected projects

I build what'snext.

AI Architect · Full-Stack Developer · Technical Advocate

I turn ambitious ideas into intelligent, production-ready software — combining deep engineering with AI, automation, and emerging technology.

martins_ai / boardbuild · now
01AI architecturefocus
02Full-stack developmentfocus
03Technical advocacyfocus
04AI-native productsfocus
Available for selected projects
Abuja, Nigeria · Remote · UTC+1AI Architect3 service areas / 10 proposals in the lab

I turn ambitious ideas into intelligent, production-ready software — software that works and keeps working for real people.

More about me

01

Before any code, I pin down what should exist in the first place — the problem worth solving, not just the thing worth building.

02

AI earns its place when it is part of the architecture, not a feature bolted on. Reliability, evaluation, and fallbacks come first.

03

Production-ready means it keeps working for real people — with the engineering, infrastructure, and care that survive contact with users.

What I build, plainly.

No jargon-first. Each of these maps to a problem you might actually have right now.

What happens when you reach out

  1. 01You describe the problem — one sentence is enough.
  2. 02I reply honestly: what it is, what it isn't, and a sensible first step.
  3. 03If it's a fit, we build the smallest useful version and tighten it with real use.
01

AI Architecture

Architecture for AI-powered products, agentic systems, intelligent workflows, and AI-enabled operations — connecting models, data, tools, interfaces, and human decision-making into dependable software systems.

02

Product Engineering

End-to-end product engineering across frontend, backend, data, APIs, infrastructure, workflows, and AI — building software that solves real problems today and can evolve with the business tomorrow.

03

Technical Strategy & Advocacy

Technical research, architecture evaluation, strategic guidance, education, documentation, and developer advocacy that help teams adopt technology with clarity, confidence, and purpose.

02 — Industries I thrive in

The sectors that run on the software I build.

012 buildsEducationBuilding technology for education requires more than digitizing existing administrative or academic workflows. Educational institutions operate across complex structures involving students, educators, administrators, academic sessions, financial obligations, assessments, research, and institutional records. My work in this emerging area combines full-stack engineering with AI-assisted learning and administration. I have worked on systems spanning school administration and management, academic research, educational content discovery, document-grounded AI assistance, and research workflows. Projects such as SAMS_AI explore how school operations can be consolidated into a reliable digital system covering admissions, billing, student records, academic reporting, and administrative analytics. ChatWith.study explores how AI can help students and researchers discover relevant project topics, understand course materials, work with research documents, and receive contextual assistance. IJARCS focuses on the infrastructure behind academic publishing, peer review, research archiving, and scholarly workflows. The common thread is using software and AI to reduce administrative friction, improve access to information, and make academic workflows more structured, searchable, and useful.
022 buildsFintech & E-commerceFinancial and commerce systems demand reliability at the intersection of money, transactions, inventory, customers, and operational workflows. My strongest industry experience is in this space, spanning payment processing, financial ledgers, reconciliation, merchant operations, inventory, point-of-sale workflows, e-commerce infrastructure, AI-powered shopping experiences, payment integrations, and commerce automation. BluuPay represents the fintech side of this work: a financial operating system for SMEs with payment processing, wallets, transfers, transaction reconciliation, inventory, POS integration, merchant operations, and security-sensitive financial workflows. On the commerce side, ChatWith.store explores AI-native shopping experiences where conversational interfaces can search products, answer customer questions, reason over live inventory, recommend products, construct carts, and connect shoppers directly to checkout. This work has developed a strong appreciation for the engineering requirements of financial and commerce software: idempotency, immutable ledgers, concurrency control, webhook reliability, deterministic access to live product data, and user experiences that reduce friction rather than adding another layer of complexity.
031 buildCareerOpsCareer development is increasingly becoming a systems problem. Job seekers must discover relevant opportunities, understand skill requirements, tailor resumes, prepare applications, track submissions, and continuously improve their positioning across fragmented platforms. My work in CareerOps is focused on applying AI and automation to this fragmented workflow. ChatWith.work explores an end-to-end career operating system combining AI-assisted CV and resume creation, ATS-oriented optimization, career-path planning, skill-gap analysis, job discovery, application tracking, and automated application workflows. The broader goal is not simply to generate a better resume. It is to create a connected system that understands the relationship between a person's experience, target roles, skills, job descriptions, applications, and career progression. This is an emerging area of my work, particularly focused on the intersection of AI agents, structured career data, semantic matching, browser automation, and human oversight.
042 buildsReal EstateReal estate combines physical assets, financial modeling, construction, sales, operations, documentation, and highly contextual decision-making. Software in this space therefore has to connect information that traditionally lives across spreadsheets, property listings, documents, communication channels, and project-management systems. My emerging work in real estate focuses on applying AI and full-stack systems engineering across both property intelligence and development operations. ChatWith.homes explores AI-assisted property discovery for investors, flippers, renovators, and developers. The system is designed to identify potentially attractive properties, estimate renovation requirements, model ARV and ROI, analyze property information, and alert users when opportunities match their investment criteria. REDAMS_AI approaches the problem from the operational side, providing an agency and development management platform covering construction milestones, contractors, budgets, documents, investor communication, property inventory, payment schedules, and sales operations. Together, these projects explore two complementary sides of real estate technology: finding and evaluating opportunities, and operating the development lifecycle after an opportunity has been identified.

A sequence that starts with the problem.

How engagement works

Discover

Clarify the real constraint and name it in one sentence.

Design

Shape the smallest useful loop — interface and system together.

Build

Turn that loop into working software, not a deck.

Refine

Watch real use, remove friction, tighten the next step.

What they say

Payments now reconcile themselves. What used to be a nightly chase for drift between gateways and our ledger is a dashboard we can trust, and transaction validation happens fast enough that customers never feel it.

Operations LeadRated 5 of 5BluuPay

The manuscript workflow removed the guesswork from peer review. Authors, reviewers, and editors each see exactly what they should, reviewer anonymity holds end to end, and every editorial decision leaves a trail we can audit.

Managing EditorRated 5 of 5IJARCS

Milestones, budgets, and buyer payments finally live in one place. Site progress updates and investor reports that once took days of assembling are now generated from the system, and nothing slips between departments.

Development DirectorRated 5 of 5REDAMS_AI

04 — Insights

Notes from the build.

All insights

Writing in progress.