AI/ML Engineer | Full-Stack Developer | Researcher
I build intelligent systems and innovative applications spanning AI, autonomous systems, and full-stack development
I'm a software engineer specializing in AI/ML and full-stack development with a passion for creating intelligent solutions to complex problems. From building transformer-based NLP models and autonomous vehicle systems to developing modern web and mobile applications, I thrive at the intersection of artificial intelligence and software engineering.
My expertise spans machine learning, deep learning, and computer vision, alongside full-stack web development with the MERN stack, React, and modern frameworks. Whether it's training neural networks from scratch, designing responsive web applications, or implementing IoT systems, I bring a comprehensive approach to solving real-world challenges through technology.
Tunis, Tunisia
GPA: 3.5/4.0
Thesis Project: Design & Implementation of Navigation Mode Switching in Tele-Operated Vehicles
Relevant Coursework: Data Analytics, Machine Learning, Cloud Computing, Distributed Systems, Software Architecture
Riffa, Bahrain
GPA: 3.16/4.0
Capstone Project: Development of a Smart Crop Monitoring System
Relevant Coursework: Machine Learning & Data Analytics, Operating Systems, Mobile Programming, Embedded Systems, Digital Logic Design, Database Systems
Ariana, Tunisia
Ariana, Tunisia
Manchester, UK
Riffa, Bahrain
Tunis, Tunisia
Research papers, articles, and contributions to the field
Published in: 2025 IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM)
Presented research on the design and implementation of seamless navigation mode switching in tele-operated vehicles, enabling safe transitions between manual and autonomous control modes.
Published in: 8th EAI International Conference on Intelligent Transport Systems (INTSYS 2024)
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 608. Springer, Cham
Proposed a dual-chain framework for adaptive video bitrate allocation in multi-camera ROVs, optimizing transmission under bandwidth constraints for improved autonomous navigation.
Senior Project - American University of Bahrain
Developed a comprehensive smart crop monitoring system integrating IoT sensors and data analytics for precision agriculture and real-time crop health monitoring.
An AI-Powered Lyric Completion Tool using the Transformer architecture from scratch.
A MERN stack web application for a food waste management system.
A switching system between two navigation modes of a teleoperated vehicle using CARLA & MATLAB.
A crop monitoring system made using a Raspberry Pi 4B, a 7-in-1 NPK sensor, an ultrasonic sensor, and an ESP32 Wi-Fi module.
Have a question or want to work together? Feel free to reach out!
emansarahafi@gmail.com
+1 (858) 758-5158
San Diego, CA, USA