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Edson – React, Node.js, Typescript, experts in Lemon.io

Edson

From Brazil (UTC-3)flag

Back-end Web Developer|Senior
Front-end Web Developer|Middle-to-senior
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Edson – React, Node.js, Typescript

Meet Edson Ferreira, a Senior Engineer with 13 years of Ruby on Rails experience and 9 years working with Node.js and TypeScript. He has led backend architecture for startups, built event-driven microservices, and integrated AI into real-world applications.

Edson brings strong expertise in distributed systems, database design, and async programming in Node.js. He is also experienced with GraphQL, PostgreSQL, and cloud platforms. Formerly a Head of Engineering, he combines technical leadership with a pragmatic, business-focused mindset.

Clear in communication and quick to adapt, Edson is well-suited for fast-paced startup environments and ready to make an immediate impact.

15 years of commercial experience in
AI
Analytics
Blockchain
Cryptocurrency
Edtech
Content creation and licensing
SaaS
Web3
Main technologies
React
8 years
Node.js
9 years
Typescript
5 years
Ruby on Rails
13 years
MongoDB
5 years
PostgreSQL
13 years
Additional skills
Flutter
Next.js
AWS
MySQL
AI
Supabase
Python
LLM
Redis
RAG
Vercel
Heroku
WebRTC
Blockchain
ElasticSearch
n8n
Web scraping
Web 3.0
Vertex AI
Pipecat
Direct hire
Possible
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Experience Highlights

Contractor
Feb 2025 - Ongoing6 months
Project Overview

This project involved the development of a fully automated content creation pipeline for a faceless YouTube channel, leveraging n8n as the workflow engine and multiple AI services for content generation. The system was designed to transform a simple topic or keyword into a complete, high-quality video — including script, voiceover, visuals, and final assembly — with minimal manual editing.

The pipeline integrates AI tools for scriptwriting (GPT-4), text-to-speech narration (ElevenLabs), visual generation (through FAL.ai inference APIs), and video editing/composition . Thumbnails and branded assets are also generated automatically to support YouTube SEO and viewer engagement. This solution is scalable, customizable, and designed for consistent, hands-off video production.

Responsibilities:
  • designed the entire automation pipeline using n8n to orchestrate all steps of the video creation workflow.
  • integrated OpenAI’s to automatically generate engaging video scripts from simple topics or prompts.
  • configured TTS services (e.g. ElevenLabs) to produce high-quality voiceovers tailored to the niche and tone of the channel.
  • automated image and video generation using some FAL.ai inference APIs.
  • developed thumbnail generation logic using AI-based image tools to create click-optimized thumbnails with minimal input.
Project Tech stack:
Python
n8n
AI
Vertex AI
Head of Engineering
May 2021 - Jun 20254 years 1 month
Project Overview

The client was an online learning platform that turns any reading assignment into clear, engaging literary insight. Its library of expert‑written study materials—spanning full‑length guides, concise plot overviews, and classroom‑ready teaching resources—covered everything from timeless classics to contemporary bestsellers.

Responsibilities:

Edson's scope of responsibilities included the following:

  • created and shaped the engineering team from scratch (from 0 to 15 engineers);
  • helped to shape and oversee the entire Product team;
  • established an intermediate leadership layer for the engineering team and created a robust process for career progress;
  • actively worked on product development until early 2024;
  • progressed into a more strategic position, remaining hands-on with technical skills to mitigate business risks and allow the team to move faster;
  • created a mobile app PoC from scratch using Flutter and proved that the team could create a fully-functional app in a couple of months;
  • managed an expedition, oversaw the launching of the app in 3 months, and achieved great results so far;
  • built the AI foundation for all the AI tools in the site and trained the team in all the most complex aspects of it (LLM integration and best practices, vector databases, RAG, etc).
  • established standards and best practices for the engineering team to boost productivity with the use of AI tooling (e.g. Cursor, OpenAI Codex, Builder.io Fusion, Code Rabbit, Claude Code, MCPs) and improve product and design handoff using AI-powered strategies.
Project Tech stack:
Next.js
React
Ruby on Rails
ElasticSearch
Redis
AWS
PostgreSQL
AI
RAG
LLM
Flutter
Co-Founder and CTO
Jul 2024 - May 202510 months
Project Overview

This project was an AI‑powered research platform that runs human‑like interviews and adaptive surveys at scale: draft a guide in minutes, share one link, and its conversational AI probed deeper with smart follow‑ups while capturing text or audio responses. Every interaction was auto‑transcribed, clustered, and visualized in dashboards that could be queried in plain English, turning raw feedback into themes, sentiment, and actionable recommendations within hours.

Responsibilities:

Edson's main responsibilities were the following:

  • defined product and technology vision for an AI‑first research platform;
  • architected end‑to‑end SaaS infrastructure (LLM services, event‑driven backend, real‑time dashboards);
  • implemented CI/CD, trunk‑based development, and automated testing;
  • built adaptive AI interview engine powered by Pipecat, with speech‑to‑text, follow‑up logic, and thematic clustering;
  • integrated payment, auth, and analytics providers;
  • represented the company in investor pitches and tech‑community events.
Project Tech stack:
Next.js
Ruby on Rails
AI
WebRTC
Python
Heroku
AWS
Vercel
PostgreSQL
Redis
React
RAG
Cursor
Typescript
Pipecat
Co-Founder and CTO
Dec 2021 - Aug 20242 years 8 months
Project Overview

A digital product studio that specialized in helping early-stage startups and scale-ups bring their ideas to life. Wisemade delivered end-to-end solutions—from product strategy and UX/UI design to full-stack development—empowering clients to rapidly build, launch, and iterate on their digital products.

Responsibilities:
  • built a multi‑chain wallet aggregation engine covering major EVM;
  • implemented real‑time price tracking and portfolio analytics pipeline;
  • designed and launched cross‑platform mobile app with intuitive crypto dashboard;
  • integrated secure wallet‑connect and exchange APIs for seamless transactions;
  • developed token discovery module with curated news and on‑chain metrics;
  • set up CI/CD workflow, enabling rapid feature releases and hotfixes.
Project Tech stack:
Ruby on Rails
Next.js
Flutter
React
PostgreSQL
Redis
WordPress
Blockchain
Web 3.0
Web scraping
AI

Education

2018
Computer Engineering
Bachelor

Languages

Portuguese
Advanced
English
Advanced

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