Marco Pileri
Senior Full-Stack JavaScript Developer Ex-Adobe
New to Contra
Marco is ready for their next project!
Virtual Assistant is a web application that allows users to intuitively and effectively complete an online application for assistance from the Westminster City Council.
It is an app that uses a simple and intuitive UI to walk the applicant through the application process by providing step-by-step guidance.
At the end of the application process, the applicant will be able to submit all the signed documents to the Local Government Pension Scheme Office for processing.
Technical Implementation
The software is written using Javascript and PHP. The Front-end part is made using Angular framework and the Back-end part is made using a custom made internal PHP framework.
The Local Government Pension Scheme Office receives the signed documents via email in PDF format thus saving precious time that was spent assisting the applicants that used to go directly to the office to ask for guidance in filling the paper application form.
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How to Find Qualified Leads Quickly on LinkedIn with Intelli-Leads
Stop wasting time on cold outreach. Find LinkedIn prospects who are already discussing the problems you solve.
intelli-leads is an AI LinkedIn Engagement Agent
https://www.intelli-leads.com
A TypeScript and Python application for researching LinkedIn topics, collecting publicly visible post engagement, and analyzing it with an LLM.
Features
Uses LangGraph.js for workflow orchestration.
Runs local browser automation through Python browser-use and Playwright.
Uses IntelliDesign IntelliModel through its OpenAI-compatible API.
Stores generated research results locally; generated output is ignored by Git.
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Adobe Interactive Experience Builder
Tech Lead & Senior Full-Stack Developer · 2019–2021
Client: Adobe Systems Europe Ltd. / Adobe Inc.
Led the development of a custom interactive demo platform built from the ground up for Adobe Experience Platform. The platform was used by Adobe teams to deliver live, interactive product demonstrations to customers, including large-scale annual Adobe events.
The solution consisted of three web applications and a Chrome extension, connected to a cloud-based backend and multiple third-party APIs.
What I worked on
Led a team of 3 JavaScript developers, including myself.
Designed the cloud architecture to support thousands of simultaneous real-time connections, scaling up to 10,000 connected devices during major Adobe events.
Designed and implemented both front-end and back-end architecture.
Developed the platform from the ground up and continuously delivered new features.
Built the main web application for configuring complex interactive behaviors and live website demonstrations.
Developed the Chrome extension used to inject JavaScript into live websites and connect demonstrations to Adobe Experience Platform APIs in real time.
Integrated the platform with third-party services, including Microsoft Dynamics 365.
Developed a mobile web application allowing event attendees to interact with and visualize real-time data streams synchronized with the presenter’s live demonstration.
Collaborated directly with Adobe teams on UI/UX design and product requirements through multiple design and planning sessions.
Investigated and resolved complex application and infrastructure issues.
Managed development tasks and coordinated the work of the two other JavaScript developers.
Technologies
React · Angular · Node.js · Firebase · Google Cloud Platform · JavaScript · Chrome Extensions · REST APIs · Real-time Data
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Biscuit Data — AI-Powered SEO Platform
Tech Lead, AI Team · Senior JavaScript Developer · Shareholder · 2020–2022
Client: Biscuit Data Ltd.
Biscuit Data is an AI-powered SEO and content marketing platform designed to help businesses manage their SEO strategy systematically, identify opportunities, and optimize their content from a single platform.
What I worked on
Led the AI/ML development team and coordinated the work of developers across the AI and JavaScript teams.
Designed and implemented the AI algorithms powering the platform’s SEO and content optimization features.
Evaluated and selected appropriate machine learning models for different use cases and designed their fine-tuning strategies.
Developed the AI-powered content editor for creating, editing, and optimizing website content.
Built systems for automatically suggesting keyword assignments for individual pages.
Developed automated content generation and optimization workflows based on keyword and SEO recommendations.
Designed the SEO dashboard, including indicators, recommendations, and suggested actions to improve search performance.
Contributed to UI/UX design and product decisions.
Designed the cloud architecture and backend infrastructure.
Developed and debugged core platform functionality across the stack.
Managed JavaScript developers and developers working on the AI team.
Technologies
React · TypeScript · Node.js · Express.js · Python · AI/ML · PostgreSQL · TypeORM · Google Cloud Platform · Google Compute Engine · Google App Engine · Google APIs & Services
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