Freelancers using Node.js in ItalyFreelancers using Node.js in Italy
ProjectsPeople
Damian Peralta's avatar
Damian Peralta
Italy
Experienced Frontend Engineer for Complex Projects
Experienced Frontend Engineer for Complex Projects
Cover image for Deutsche Bank | Sr Software Developer
Deutsche Bank | Sr Software Developer
0
10
Cover image for Red Hat 3 Scale | Sr. Software Engineer
Red Hat 3 Scale | Sr. Software Engineer
0
8
Cover image for Mckinsey Wave | Sr Software Engineer
Mckinsey Wave | Sr Software Engineer
0
22
Placeholder project card media
View more →
Node.js(3)
Cinzia Nicoletti's avatar
Cinzia Nicoletti
33100 Udine, Italy
React Native & Custom Sites with Passion 💫 12+ yrs exp
$1k+
Earned
1x
Hired
5.0
Rating
7
Followers
TOP_INDEPENDENT

Top

React Native & Custom Sites with Passion 💫 12+ yrs exp
Cover image for Cinzia Nicoletti - Senior Full Stack Developer
Cinzia Nicoletti - Senior Full Stack Developer
0
311
Cover image for Base App - React Native
Base App - React Native
0
61
Cover image for Menù Fisso - React Native application
Menù Fisso - React Native application
0
120
Cover image for Storivox – Alexa app, React
Storivox – Alexa app, React
0
81
Node.js(1)
Marco Pileri's avatar
Marco Pileri
Italy
Senior Full-Stack JavaScript Developer Ex-Adobe
New to Contra
Senior Full-Stack JavaScript Developer Ex-Adobe
Cover image for How to Find Qualified Leads
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.
0
10
Cover image for Virtual Assistant is a web
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.
0
6
Cover image for Adobe Interactive Experience Builder Tech Lead
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
1
65
Cover image for Biscuit Data — AI-Powered SEO
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
1
67
Node.js(1)
Jason Barrella's avatar
Jason Barrella
Italy
AI • Data engineering • Backend
5.0
Rating
5
Followers
AI • Data engineering • Backend
Cover image for High-frequency Crypto Arbitrage System
High-frequency Crypto Arbitrage System
0
15
Cover image for AI Assistant Using LLM Agent
AI Assistant Using LLM Agent
0
49
Cover image for Big Data Aggregation and Processing System
Big Data Aggregation and Processing System
0
31
Cover image for Dynamic NextJS SaaS App
Dynamic NextJS SaaS App
0
9
Node.js(1)
Fabrizio Ferrante's avatar
Fabrizio Ferrante
proTurin, Italy
I connect eCommerce stores to ERPs without losing orders
New to Contra
I connect eCommerce stores to ERPs without losing orders
Cover image for Compilatore F24
Compilatore F24
0
0
Cover image for QuickBooks Online Order-to-Invoice Sync (sandbox-verified)
QuickBooks Online Order-to-Invoice Sync (sandbox-verified)
0
1
Cover image for SkillMatch Lavoro - skill-based job matching platform
SkillMatch Lavoro - skill-based job matching platform
0
2
Cover image for Sazyo - B2B SaaS for nutrition professionals
Sazyo - B2B SaaS for nutrition professionals
0
2
Node.js(2)
Gabriele Mannino's avatar
Gabriele Mannino
Rome, Italy
Automation Architect | n8n & Make Expert
New to Contra
Automation Architect | n8n & Make Expert
Cover image for Real-Time Dance Competition Scoring System The
Real-Time Dance Competition Scoring System The Problem: Live dance competitions historically rely on paper scoring, causing massive delays, missing sheets, and calculation errors during live events. The Solution: I developed a real-time, tablet-optimized web application for judges. The system instantly processes incoming scores, handles complex penalty deductions, and updates a live leaderboard broadcasted directly to the audience. It completely digitized the event workflow, eliminating 100% of human calculation errors and saving hours of manual data entry. Tech Stack (Skills da taggare): React, WebSockets, Frontend Development, Dashboard Design, Real-Time Systems.
0
43
Cover image for I got tired of manually
I got tired of manually scraping platforms for automation gigs. It was taking me 20 hours a week just to find a couple of decent leads. So I built a custom n8n + Claude architecture to do it for me. I call it Vedetta. Instead of relying on basic keyword filters, I set up a Node.js backend that feeds raw data directly into a custom scoring model. Claude actually reads the job description and assigns an intent score from 1-10 (filtering out the low-budget clients right away). If a lead scores above a 7, n8n automatically drafts a tailored cold message and pings my Telegram. I get a notification on my phone. If the draft is solid, I hit approve and it gets sent. Zero hours spent sourcing. I only spend time talking to pre-qualified leads now. I just uploaded the full breakdown and dashboard UI in my portfolio here on Contra. If anyone's struggling with manual lead gen and wants to see how the n8n logic works under the hood, let me know in the comments.
1
67
Cover image for Premium Web Portfolio Architecture The Problem: I
Premium Web Portfolio Architecture The Problem: I needed a high-converting, lightning-fast digital presence to showcase my B2B automation services and complex SaaS architectures. Standard builders were too slow and restrictive. The Solution: I designed and developed a custom, high-performance web application. Built with modern web technologies and deployed via Firebase Hosting, the platform features a bespoke glassmorphism UI, lightning-fast load times, and a scalable architecture ready for future integrations. 
0
27
Cover image for DanceFlow: Multi-Tenant Studio Management SaaS The
DanceFlow: Multi-Tenant Studio Management SaaS The Problem: Dance and fitness studios struggle with fragmented, legacy tools for billing, class scheduling, and student management. The Solution: I architected a full-stack, multi-tenant SaaS platform from scratch. It features complex role-based access control (RBAC), real-time class scheduling, and automated billing workflows. The system replaces 3 different legacy software solutions with one unified, modern, and lightning-fast interface, drastically reducing administrative overhead for studio owners. Tech Stack (Skills da taggare): React, TypeScript, Full-Stack Development, UI/UX Design, SaaS Architecture.
0
39
Node.js(1)
Marco Frisan's avatar
Marco Frisan
Trieste, Italy
Senior Web Front End Engineer
Senior Web Front End Engineer
Cover image for Little news about my JOEF.
Little news about my JOEF. Yesterday I was taking some time to code (with the help of AI) a Bot that: 1. Gets the job posting records which "status" cell is blank from my job offers spreadsheet. 2. Gets each job posting web page content and parse it to a structured data. 3. Queries a custom llama3.2 model locally via Ollama to evaluate if the job opportunity is a match or not. It is notable how LinkedIn sends me offers in Spanish, Polish, German, etc. All languages not even mentioned in my profile. To filter out these ridiculous situations is one of the reasons I begun JOEF project. The "NO", "YES" and "MAYBE" in the sheet are from this new Bot. Playwright might not be necessary. Gemini suggested to use it, convinced that it was the only way to circumvent LinkedIn anti-bot gates. As usual, Gemini (just as like Copilot and the others) made me waste a lot of time, because of this assumption. The cause was much simpler than that. Somehow, when JOEF main app stores a job posting link in the sheet, the cell actual value is different from the display value (i.e. formatted value). And, in the case of LinkedIn, the actual value is for authenticated agents. The public link, suitable for non-authenticated agents, is the formatted value. I guess that JOEF fills the cell with the actual value. The display value is then generated by Google Sheet automatically via link analysis. ... Which is an issue that will need further investigation.
0
38
Cover image for There is much arguing everywhere
There is much arguing everywhere about jobs. JOEF (Job Opportunity Email Filter) is a Google Apps Script that I am developing in order to filter the deluge of job alert emails originating from various job boards (like LinkedIn or Indeed). Most of the job positions that these services claim to be a fit with your expertise and your preferences are, in fact, false positives. Such services ignore, possibly on purpose, many of your preferences (one among others, the work location type: "remote", "hybrid" or "on-site") and fail to match the job position accurately with your experience profile. JOEF fills that gap. Coded in pure JavaScript, linted with ESLint, formatted with Prettier, bundled with esbuild, and with only one runtime dependency: linkedom, a lightweight DOM API for email body parsing. Since I deployed it in November, it filtered thousands of job postings, and discarded more than 3/4 of them that didn't match my expertise or my preferences. - It can be fine-tuned through a number of user preferences, included various blacklists and whitelists for companies, professional titles, languages, skills, locations, etc... - It has a basic plugin system that permits to add parsers for any possible job board mailing list. - It uses Google Maps service to normalize locations. It can detect the job posting language and discard it if it doesn't match your known languages. Soon I will add a partner script to periodically scrape the job posting pages and collect further information in order to perform a second filtering step with the full job description and data (often, more strict residency requirements or language skills are not visible in the email excerpt). And I plan to add support for analyzing the job posting using AI, even local models, running on Ollama. JOEF has been coded by me, often with the assistance of AI models. If anyone is interested in my coding abilities, feel free to contact me.
4
2
95
Cover image for Camera Hierarchy - Blender Add-on
Camera Hierarchy - Blender Add-on
0
5
Cover image for Second Life Skeleton Loader for Blender
Second Life Skeleton Loader for Blender
1
22
Node.js(1)