Ahmed Hajhssan — Portfolio

About

Final-year Big Data & AI Engineering student at Polytech Intl, holding a Bachelor's degree in Computer Science from ISI. I like working across the full lifecycle of AI projects — from data and model training to building the systems around them that make them usable. Rigorous, curious, and hands-on by nature, I am looking for a 4 to 6-month final-year internship starting in January 2027, to apply my skills to real and challenging problems.

Education

National Engineering Degree — Big Data & AI

Polytech Intl, Tunisia · Final-year · 2024 — present

National Bachelor's — Computer Science

Higher Institute of Computer Science, El Kef · 2021 — 2024

Baccalaureate — Mathematics

Ali Douagi High School, La Marsa · 2020 — 2021

Technical Skills

AI & Machine Learning

Scikit-learn, TensorFlow, Keras, PyTorch, Hugging Face Transformers, LoRA, InceptionV3, Transfer Learning

LLMs & Speech AI

Whisper, XTTS-v2, ByT5, RAG, Google Gemini, Prompt Engineering, Vector Search

Languages

Python, JavaScript/TypeScript, C/C++, Java, SQL

Frameworks

ReactJS, React Native, FastAPI

Data Engineering & Storage

Pandas, NumPy, Pydantic, MySQL, MongoDB, Supabase

Tools & Technologies

Docker, Git/GitHub, n8n, Kaggle, REST APIs, WebSocket, JWT Authentication, Webhooks

Professional Experience

Voice Assistant for the Tunisian Dialect · Galylio AI

Summer Internship · June 2026 — Aug 2026

Built a real-time voice assistant where users speak in Tunisian dialect and receive spoken answers, powered by a STT → LLM → TTS pipeline with Gemini
Fine-tuned Whisper-small with LoRA on Tunisian speech data to improve dialect transcription accuracy
Fine-tuned XTTS-v2 for natural Tunisian Arabic speech synthesis
Designed a cascading diacritization module with a fine-tuned ByT5 model for Tunisian Arabic text
Developed the backend with FastAPI and WebSocket streaming, and a React + TypeScript chat app with JWT authentication and MongoDB

View Code

Carthagina website · Association Carthagina

Introductory Internship · March 2024 — May 2024

Developed a web application to promote Tunisian cultural heritage
Integrated external tools: Mailchimp, Flickr, and Twitter
Implemented a REST API with Node.js/Express and a responsive interface with React.js

Technologies: React.js | Node.js | Express.js | MongoDB

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Business Factory · Devlopy

Final Year Project Internship · July 2025

Developed a web platform connecting entrepreneurs and investors through a personalized matching algorithm
Implemented an integrated assistant chatbot to guide users throughout their journey
Designed a secure messaging system and customizable profile management

Technologies: Angular | Node.js | Express.js | MongoDB

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Projects

Retrieval-Augmented Generation Document Q&A Application

Sept 2026

Built a RAG application where users upload PDF documents and ask questions, answered through semantic search and Google Gemini
Automated document ingestion in n8n (text extraction, chunking, Gemini embeddings) and stored the vectors in Supabase
Retrieved the most relevant chunks and designed a context-restricted prompt that answers "I don't know" when the information is missing, reducing hallucinations
Self-hosted the pipeline with Docker and connected it through webhooks to a lightweight web interface

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Green Eye: Intelligent Mobile Application for Plant and Disease Detection

Feb 2026 — Apr 2026

Cross-platform mobile app where users photograph a plant to identify its species, detect diseases, chat with an AI assistant for personalized agricultural advice, and receive real-time weather alerts based on their location
Fine-tuned InceptionV3 on PlantVillage to build six deep learning models: one for plant species classification and five crop-specific disease detectors (apple, corn, grape, potato, tomato)
Developed the app with React Native, FastAPI prediction endpoints, and MongoDB for data management

Technologies: React Native | FastAPI | MongoDB | Python | InceptionV3

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Predictive Analysis of Diabetes

March 2026

Analyzed Pima Indians dataset using CRISP-DM methodology
Applied PCA dimensionality reduction + Decision Tree & Random Forest classifiers
Data cleaning, modeling, and result interpretation

Technologies: Python | Scikit-learn | Pandas | Matplotlib

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