I'm a Software and Machine Learning Engineer 🖥️ with 5 years of experience in computer vision, deep learning, and MLOps deployment pipelines. I'm currently working on awesome projects and exploring new technologies ⚙️. In my personal time, I enjoy cooking primo Italian dishes 🍴 and running weekly in 50 km races 🏃.

• 🔭 I’m currently working on exciting Machine Learning projects including RAG pipelines and LLM Web Apps.
• 🌱 I’m a life-long learner and currently building a multi-modal model by adding Vision to an IBM LLM.
• 📫 How to reach me:Email
• 🌐Website
• 🏢LinkedIn

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1. Sentiment_AnalysisSentiment_AnalysisPublic

   🎬 Predicts movie ratings using Logistic Regression and TF-IDF on Amazon reviews. Includes data preprocessing, feature selection, and analysis for accurate score inference.

   Jupyter Notebook

2. RAG-LLM-GenAIRAG-LLM-GenAIPublic

   🍷🤖 AI-powered wine recommendation system using vector embeddings, Qdrant, and GPT-4 Turbo. Provides personalized wine suggestions based on semantic search of tasting notes.

   Python

3. LLMLLMPublic

   🧠 Lightweight Flask API for running pre-trained LLMs locally on CPU-only Windows machines using Hugging Face Transformers and PyTorch — perfect for prototyping.

   Python 1

4. llm-web-appllm-web-appPublic

   LLM Web App (CPU-Compatible) is a professional-grade web application that demonstrates the deployment of a Large Language Model (LLM) using FastAPI. Specifically designed to operate entirely on CPU…

   Python

5. smart-retail-object-detectionsmart-retail-object-detectionPublic

   This project demonstrates object detection in a smart retail setting using YOLOv8, with the goal of detecting key retail items such as chairs, tables, and sofas. The project also includes a foundat…

   Jupyter Notebook