Yash Palde

I’m an AI/ML engineer and generative AI learner, driven by a strong interest in building AI-driven applications. I specialize in machine learning, NLP, deep learning, and LLM-based solutions—especially with Python and modern GenAI tooling like TensorFlow, PyTorch, and Hugging Face.

In my Data Science internship at Neatleap IT Training and Solutions, I worked on exploratory data analysis and preprocessing with Pandas and NumPy. I also developed and evaluated machine learning models with Scikit-Learn, strengthening performance through feature engineering and model evaluation metrics.

I enjoy translating ideas into practical systems through projects such as a real estate RAG assistant (LangChain + Streamlit) with semantic search and context-aware responses, a content-based movie recommendation app using TF-IDF and cosine similarity, and an image anomaly detection system using an autoencoder with a Streamlit UI. I’m motivated to keep improving by learning through certifications and hands-on experimentation.