I’m a Software Engineering student at INSAT specializing in Artificial Intelligence and Embedded Systems, with hands-on experience in NLP, computer vision, and full-stack AI development. My recent internships at Abshore and VirtualDev allowed me to build intelligent systems — from an NLP model that classifies and corrects CVs to a chatbot for ERP systems combining local LLMs and Google Gemini APIs. I enjoy bridging AI with real-world applications: optimizing neural networks for beamforming, designing CNNs for plant disease detection, and deploying interactive web solutions with FastAPI, ASP.NET, and Docker. My technical stack includes Python, TensorFlow, MATLAB, and SQL, complemented by solid knowledge in data processing, embedded systems, and cloud (AWS). Beyond academics, I’m an active member of the IEEE RAS Chapter and Aerobotix INSAT, and a national tennis coach, experiences that have shaped my leadership, teamwork, and discipline. I’m motivated by solving impactful problems through AI and always seeking environments where I can innovate, learn fast, and contribute to intelligent automation.

Selim KLILA

I’m a Software Engineering student at INSAT specializing in Artificial Intelligence and Embedded Systems, with hands-on experience in NLP, computer vision, and full-stack AI development. My recent internships at Abshore and VirtualDev allowed me to build intelligent systems — from an NLP model that classifies and corrects CVs to a chatbot for ERP systems combining local LLMs and Google Gemini APIs. I enjoy bridging AI with real-world applications: optimizing neural networks for beamforming, designing CNNs for plant disease detection, and deploying interactive web solutions with FastAPI, ASP.NET, and Docker. My technical stack includes Python, TensorFlow, MATLAB, and SQL, complemented by solid knowledge in data processing, embedded systems, and cloud (AWS). Beyond academics, I’m an active member of the IEEE RAS Chapter and Aerobotix INSAT, and a national tennis coach, experiences that have shaped my leadership, teamwork, and discipline. I’m motivated by solving impactful problems through AI and always seeking environments where I can innovate, learn fast, and contribute to intelligent automation.

Available to hire

I’m a Software Engineering student at INSAT specializing in Artificial Intelligence and Embedded Systems, with hands-on experience in NLP, computer vision, and full-stack AI development. My recent internships at Abshore and VirtualDev allowed me to build intelligent systems — from an NLP model that classifies and corrects CVs to a chatbot for ERP systems combining local LLMs and Google Gemini APIs.

I enjoy bridging AI with real-world applications: optimizing neural networks for beamforming, designing CNNs for plant disease detection, and deploying interactive web solutions with FastAPI, ASP.NET, and Docker. My technical stack includes Python, TensorFlow, MATLAB, and SQL, complemented by solid knowledge in data processing, embedded systems, and cloud (AWS).

Beyond academics, I’m an active member of the IEEE RAS Chapter and Aerobotix INSAT, and a national tennis coach, experiences that have shaped my leadership, teamwork, and discipline. I’m motivated by solving impactful problems through AI and always seeking environments where I can innovate, learn fast, and contribute to intelligent automation.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

Arabic
Fluent
English
Fluent
French
Advanced

Work Experience

AI & Web Developer at VIRTUALDEV
August 31, 2025 - October 17, 2025
Built a chatbot web app for ERP systems using ASP.NET MVC, enabling intelligent user queries. Implemented a hybrid knowledge system combining local LLMs and Gemini 1.5 API for advanced reasoning. Connected ERP databases via ODBC and REST APIs, deployed with Docker and SQL Server. Enhanced ERP usability with a smart conversational interface.
NLP Engineer at ABSHORE
August 31, 2024 - October 17, 2025
Developed an NLP model to classify and correct CVs using TensorFlow and Kaggle datasets, improving candidate data accuracy. Automated extraction of unstructured resumes into JSON format, reducing manual preprocessing time. Integrated the model with a computer vision pipeline for better parsing of scanned/PDF resumes.

Education

Software Engineering at Institute of Applied Sciences and Techniques INSAT
September 1, 2022 - October 17, 2025
Baccalaureate in Mathematics (Excellent Average) at L'IDEALE - NABEUL
January 1, 2019 - January 1, 2022

Qualifications

Cloud Essentials Knowledge Badge| AWS
January 11, 2030 - October 17, 2025
SolidWorks | HLC TECH
January 11, 2030 - October 17, 2025
Machine Learning | Simplilearn
January 11, 2030 - October 17, 2025

Industry Experience

Software & Internet, Education, Professional Services