Natalia Lungu
I'm
I'm
I am an AI/ML Developer with front-end development skills. I enjoy building practical AI projects using Python, machine learning, deep learning and modern deployment tools. I also use my web development skills to create clear, responsive and user-friendly interfaces for my projects.
I have studied and built projects using Python, machine learning, deep learning, natural language processing and computer vision. My projects include medical text summarisation and image recommendation, and I have deployed AI projects using Hugging Face Spaces, FastAPI and Docker.
I also have front-end development skills in HTML, CSS, JavaScript, React and Bootstrap, which help me build simple, responsive interfaces for AI and web applications.
Languages, frameworks, libraries and tools I have studied, used and deployed in my projects.
A short overview of my AI/ML, programming and web development studies and projects.
Download Full CVAI/ML Developer with front-end development skills and practical project experience in Python, machine learning, deep learning, natural language processing, computer vision and deployment tools.
Python, Machine Learning, Deep Learning, NLP, Computer Vision, PyTorch, TensorFlow, Scikit-learn, Pandas and NumPy.
FastAPI, Docker, Hugging Face Spaces, GitHub, Heroku, HTML, CSS, JavaScript, React, Bootstrap and PHP.
Fine-tuned a BART Transformer model to summarise medical radiology findings into shorter impressions. Deployed with FastAPI, Docker and Hugging Face Spaces.
Built an image-based recommendation project using deep learning features, embeddings and cosine similarity to find visually similar fashion items.
Completed practical machine learning exercises using Python, Pandas, Scikit-learn, TensorFlow and deep learning concepts as part of my AI/ML studies.
A selection of my AI/ML and web development projects, including model development, APIs, React applications, responsive websites and deployed user interfaces.
AI/NLP project that summarises medical radiology findings into shorter impressions.
Tech stack: Python, PyTorch, Hugging Face Transformers, BART, FastAPI, Docker
Live Demo
AI project that recommends visually similar fashion items from an uploaded image.
Tech stack: Python, Flask, ResNet50, Embeddings, Cosine Similarity, Hugging Face Dataset
Live DemoUse the form below to contact me about opportunities, projects or collaborations.