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nimad70/README.md

Hello, I'm Nima!

Artificial Intelligence Specialist | Software Developer | Machine Learning Enthusiast


About Me

I’m a passionate AI specialist and software developer with a Master’s in Computer Science from the University of Padua, specializing in machine learning, AI security, and software engineering. My work spans research, development, and optimization of advanced AI systems to deliver impactful, real-world solutions.


Highlights

  • AI Research: Explored vulnerabilities in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems during my thesis, collaborating with Radboud University.
  • Software Development: Built scalable applications and machine learning models, including a diabetic retinopathy detection system and car price prediction tool.
  • Technical Expertise: Skilled in Python, TensorFlow, PyTorch, and cloud-based deployments to optimize workflows for efficiency and reproducibility.

Skills

  • Languages: Python, SQL, C++
  • Frameworks: TensorFlow, PyTorch, Scikit-learn, Django
  • Tools: Git, Docker, Azure
  • Specialties: Machine Learning, Deep Learning, AI Security, Data Analysis

Recent Projects

  • LLM Optimization: Fine-tuned Mistral 7B for medical QA, achieving 95.45% accuracy using advanced techniques like QLoRA and RAG.
  • Diabetic Retinopathy Detection: Developed a CNN model using Inception V3, achieving high accuracy with optimized preprocessing techniques.

Let’s Connect

I’m always open to collaboration and discussing innovative ideas in AI and software development. Feel free to explore my work or connect with me on:


“Curiosity drives my work, and innovation fuels my passion. Let’s build something extraordinary together!”

Pinned Loading

  1. code-fest code-fest Public

    problem solving using Python

    Python

  2. diabetic-retinopathy-detection diabetic-retinopathy-detection Public

    Diabetic Retinopathy Detection using Inception-V3 | project for the Vision & Cognitive System course (ComputerScience @ UniPd) | w/ Shab Pompeiano

    Jupyter Notebook 1

  3. VulRAG VulRAG Public

    Investigating the vulnerability of Large Language Models (LLMs) to misinformation in Retrieval-Augmented Generation (RAG) systems by poisoning vector databases and analyzing LLM responses to identi…

    Jupyter Notebook

  4. dt_predictor dt_predictor Public

    Modular web scraper and ML pipeline for extracting data from websites, storing it in a database, and predicting item values using Decision Tree Regression. Features interactive CLI, dynamic schemas…

    Python

  5. face_detection face_detection Public

    A real-time face detection using ResNet for face detection and EfficientNetV2 for face expression classification.

    Python

  6. mistral-qa-optimization mistral-qa-optimization Public

    mistral-qa-optimization | project for the Natural Language Processing course (ComputerScience @ UniPd) | w/ Shakiba Farjood Fashalam - Marcos Tidball - Tobia Pavona - Giacomo Ferrante

    Jupyter Notebook