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Schedule Interview NowMy name is Anas B. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Artificial Intelligence, AI Agent Development, Retrieval Augmented Generation, Machine Learning, LangChain, etc.. I hold a degree in Engineer's degree. Some of the notable projects I've worked on include: FitPlanner: AI-Powered Fitness Assistant, Schedule Reminder Workflow, Personal Accountant Workflow, Hybrid RAG Workflow, AutoLinker, etc.. I am based in Msaken, Tunisia. I've successfully completed 9 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
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Taskify AI
FitPlanner is an AI-powered fitness app that helps users calculate BMI, body fat, ideal weight, macros, and plan meals using built-in health tools—accessible through a simple chat interface.
This n8n workflow automates schedule reminders by extracting events from Google Calendar and sending timely notifications via Gmail. It ensures you never miss important appointments or deadlines.
This is an n8n workflow that acts as an automated accountant. It logs expenses to a Google Sheet with details like date, category (personal or business), description, amount, and type. You can interac
This project builds a hybrid RAG pipeline using n8n, Supabase, and Groq’s Qwen-32B model. Documents are ingested from Google Drive, version-checked, and processed based on type: PDFs and text files ar
This project automates the process of sending personalized connection requests with notes on LinkedIn, enhancing networking efficiency and engagement.
Engineer's degree in Network and Communications
2021-01-01-2026-01-01