Software + cloud engineering / Kingston, Jamaica

Matthew GrantSoftware engineer who thinks in systems.

I build dependable applications, automate operational friction, and engineer AWS infrastructure that gives teams a calmer path from idea to production.

Explore selected work GitHub LinkedIn

01 / Selected systems

Projects chosen for product scope, technical range, and operational thinking.

P/01

AI Price Validator

AI agents · AWS · validation pipeline

A multi-agent invoice review system that researches market prices, flags anomalies, and detects duplicate pages to make purchasing decisions more consistent and auditable.

Built to reduce fraud risk and review friction.

P/02

Stock Market

Next.js · Supabase · Recharts

A full-stack trading platform with live market controls, interactive price history, account balances, transaction records, and administrative stock management.

One product spanning data, accounts, trading, and operations.

P/03

Copilot

Python · AI automation · desktop

An autonomous desktop assistant designed to complete assigned tasks and reduce the context switching involved in repetitive computer work.

An active exploration of practical agentic workflows.

P/04

Goal Tracker

C# · Blazor · relational workflows

A goal-management application with complete CRUD workflows and support for linked goals, making dependencies and progress easier to understand.

Designed around connected goals, not isolated checklists.

P/05

Wordle Creator

C# · Blazor · generative gameplay

A configurable game generator that transforms structured JSON topics and clues into a playable Wordle-style board.

Turns reusable content into a custom game experience.

P/06

Anomaly Detector

Python · NumPy · Matplotlib

A numerical anomaly-detection experiment that generates synthetic sequences and identifies injected outliers with 98% accuracy.

98% detection accuracy in the project test data.

02 / Field record

Professional work measured by what became faster, calmer, or more reliable.

Innovera / Jan–Oct 2025

Cloud Engineer AWS + automation

Engineered scalable cloud infrastructure and enterprise applications from scratch, directed migrations across multiple business units, and coordinated platform transitions with cross-functional teams.

Built AWS environments for team and independently owned projects.
Protected continuity through migrations with minimal system downtime.
Integrated AI automation into operational workflows.

Operational impact

54%

less manual work through AI automation.

Migration standard

↓

minimal downtime across platform transitions.

UWI Mona ITS / 2024–Jan 2025

Software Engineering Intern

Built an internal web application that improved process efficiency by 30%, enhanced Python application performance by 25%, and integrated RESTful API features into existing systems.

03 / Working stack

Tools grouped by the engineering problems they help solve.

S/01

Cloud systems

AWS infrastructure, cloud migrations, DynamoDB, and operational reliability.

S/02

Automation

Python, AI agents, n8n, APIs, and workflows that remove manual effort.

S/03

Application engineering

Next.js, React, Flask, Django, C#, Blazor, and .NET.

S/04

Data foundations

PostgreSQL, MongoDB, DynamoDB, relational design, and data processing.

04 / Operator profile

Engineering with ownership from interface to infrastructure.

I am a University of the West Indies Software Engineering graduate who enjoys crossing boundaries: product thinking, backend systems, cloud infrastructure, and the operational details that make software dependable after launch.

BSc Software Engineering · GPA 3.58 · UWI, 2024