FAZERLANE
Developed a full-stack gamified learning platform that transforms YouTube tutorials into structured, AI-powered learning lanes using Google Gemini, with progress tracking and semantic content recommendations via Qdrant vector search.
Samuel U is a proficient Software Engineer with a strong background in both frontend and backend development, specializing in building scalable, AI-enhanced web applications. With expertise in a range of technologies including React, Typescript, Go, Node.js, and Vue.js, Samuel has successfully engineered complex features such as real-time analytics dashboards, AI-powered trading platforms, and dynamic content delivery systems. His work at companies like EAGLE AI LABS and FLOWOPTIX highlights his ability to integrate APIs like Binance and Google Maps, and to collaborate effectively with cross-functional teams to deploy ML-driven applications. Samuel's project portfolio further demonstrates his capacity to handle full-stack development, from creating gamified learning platforms to developing distributed real-time messaging systems. His academic foundation in Computer Science, supplemented with specialized training in Blockchain Development, equips him with both the theoretical and practical skills necessary to innovate and excel in fast-paced tech environments.
Developed a full-stack gamified learning platform that transforms YouTube tutorials into structured, AI-powered learning lanes using Google Gemini, with progress tracking and semantic content recommendations via Qdrant vector search.
Built a full-stack media compression platform in Go and Gin supporting video, audio, and image processing with configurable compression settings, with FFmpeg and Go image pipelines and presigned AWS S3 downloads.
Architected a democratic AI platform that routes queries across multiple LLMs, enabling real-time inter-model debate and consensus voting to deliver high-confidence responses.
Developed an AI-powered video processing API in Go that uses Gemini's vision to analyze frame grids, detect high-impact moments, and apply dynamic visual effects while preserving the original framerate and quality
Built a horizontally scalable real-time messaging system in Go, using Redis as a shared connection registry and RabbitMQ topic exchanges to route messages across multiple server instances. Designed with hexagonal architecture, decoupling domain interfaces from infrastructure adapters for flexible implementations and easier dependency swapping.
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Full Stack Engineer
Lagos, Nigeria · 3-4 years experience
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