Aditya Pawar

Retrieval Augmented Generation (RAG), Vector Databases (FAISS, ChromaDB Pinecone) Sentence Transformers, Semantic Search, Document Chunking & Embedding, Dense Vector Retrieval, Multi-format Document Ingestion (PDF, TXT, CSV, JSON), NumPy, Pandas, Matplotlib, Seaborn, OpenCV, Sci Kit Learn, TensorFlow, PyTorch, LangChain, LangGraph, Web Scraping, • Machine Learning & AI: Supervised (Linear Regression, Logistic Regression, Decision Trees, Random Forest, SVM, Naive Bayes), Unsupervised (K-Means, Hierarchical Clustering, DBSCAN), Feature Engineering, Model Selection & Hyperparameter Tuning, Ensemble Learning, Model Evaluation (Cross Validation, Confusion Matrix, Accuracy, Precision, Recall, F1-Score, ROC-AUC), Deep Learning (ANN, CNN, RNN, Transformers, GANs, VAEs, Transfer Learning), Natural Language Processing (Text Preprocessing, Tokenization, Embeddings, NER, Sentiment Analysis), Generative AI Computer Vision (Image Classification, Object Detection, OpenCV), Statistical Analysis, Time Series Basics, Flutter using Dart, React, Next.js, Node.js, Express.js, Server.js, Ethers