FinalLayer is essentially an AI assistant for LinkedIn content creation — helping professionals generate, optimize, and schedule posts more efficiently. It aims to make posting regular, engaging content easier and more strategic without spending hours drafting or researching manually
At FinalLayer, the company aimed to help professionals create highly engaging LinkedIn posts and build personal branding using AI, but the platform lacked scalable AI integration and an efficient media processing workflow, which limited user engagement and post quality.
I was responsible for developing and optimizing the AI-powered content
generation system, integrating real-time media tools, and implementing a robust
post scheduling and analytics framework to improve user retention and
engagement.
I designed and implemented a microservices-based backend using Node.js and
NestJS, integrated OpenAI GPT-4 for personalized LinkedIn post suggestions, and
created a video processing pipeline with FFmpeg for trimming, captioning, and
embedding videos. I also developed a scheduler service using Bull to automate
post publishing, added Redis caching for performance, and built an analytics
dashboard to track post engagement and optimize AI recommendations.
Additionally, I implemented subscription-based SaaS features with Stripe for
multi-user management.
The platform was able to handle 10,000+ concurrent users generating personalized posts daily, reduced AI response latency by 40%, improved user
engagement on posts by 35%, and enabled seamless media-rich content creation,
leading to a measurable increase in subscription retention and overall platform
growth.
Developed AI tools for LinkedIn content creation, boosting user engagement and platform efficiency using React, Node.js, Tailwind CSS, Open AI and PostgreSQL.