Abass Mesilmani

I’m an AI Engineer and former Full-Stack Developer specializing in end-to-end AI productization. I build intelligent systems that integrate Generative AI, RAG pipelines, and Computer Vision into functional, user-facing applications.

I approach AI with a software engineer’s mindset and a data scientist’s intuition. I focus on architecting robust backends, optimizing model inference, and turning AI prototypes into scalable, maintainable code.

In my AI Engineer Intern role at Decode Labs (May 2026–July 2026), I developed and tested AI/ML models using Python and modern deep learning frameworks. I helped with data preprocessing, model training, and performance evaluation, and collaborated with the AI team to research, implement, and optimize solutions for real-world applications.

On CampusFlow, my AI-Powered University Life Assistant, I designed study planning that generates personalized schedules from courses, deadlines, exams, and preferences. I also built an AI document assistant using LLMs and RAG to summarize lecture materials, generate quizzes and flashcards, and answer questions from uploaded PDFs, plus recommendation and prediction systems for workload, crowd forecasting, and team matching—all integrated into a full-stack architecture with real-time notifications, data analytics, and personalized student insights.