Tom Lindley

A PHP Laravel and Vue.js based web application sold as a SaaS and powering the business from prospective clients all the way through to delivery and beyond.

The enterprise grade web application is used for:

• Booking/scheduling penetration tests
• Providing automated and manual estimates
• Generating customisable Proposal and Report PDFs
• Reporting security vulnerabilities with asset association, screenshots/videos, external references
• A high-level overview of a companies security posture
• API integration with Jira and Stripe
• Externally available API
• Booking/scheduling retests and reviews
• Peer review process
• Security finding template management

A startup mobile application for football score predictions in a team.

The back-end API used data from Betfair, William Hill, and Sportmonks to generate real-time odds and recommended bets based on team predictions.

The PHP Laravel-based API powered the mobile application and was deployed into DigitalOcean and AWS.

A wallet within the application took funds from SMS messages, PayPal payments and mass payouts using Pay360.

The API handled requests for login, registration, wallet top-ups, wallet extraction, avatars, predictions, real-time scores, historic performance, teams, team join/leave, and recommended bets.

Sadly, the application did not make it beyond the testing phase due to lack of funding.

Named Subtle Scraper, this node-based tool imitated a human user and scraped information from LinkedIn for business development purposes.

Written using Node.js and headless Chrome in response to the ban of automated tools on LinkedIn, the tool would mis-click, have extended pauses, and vary the order of certain activities to scrape user data from the social network.

A long-term financial planning web application written in Laravel PHP and React.

Utilizing Neo4j graph database and PostgreSQL to provide insights into spending using data from Open Banking and Bank/Credit Card excel exports, the app implemented complex actuarial functions to provide financial estimates and plans for long-term saving and investment.

A Node.js application to stream PostgreSQL audit data into an Elasticsearch cluster.

Created to allow trigger based PostgreSQL audit to be streamed out of the database without losing data in the event of a restart/crash of either Elasticsearch or PostgreSQL, it uses an in-memory cache and asynchronous database triggers.

A bash-based microservice to allow EC2 instances to be stopped and started using a schedule defined in environment variables, built to save AWS costs for non-essential services that could be turned off during weekends and evenings to save costs.

A brochure-ware website written in JavaScript and PHP to promote my own company. I designed it to use service-workers and HTTP 2.0 as a proof of concept allowing offline usage and lightning-fast load times, utilizing preloading and cache-first service workers.