Generative Ai Engineer
CurrentFine-Tuning LLMs: Adjusting large language models (LLMs) for specific tasks and industries.Creating RAG Chatbots: Building chatbots using Retrieval-Augmented Generation (RAG) to give smart and context-aware replies.Implementing Semantic Search: Using vector databases for smarter and more accurate search results.Deep Learning: Training and improving AI models with PyTorch and TensorFlow.Data Preparation: Cleaning and organizing data using tools like Pandas, NumPy, and R for better analysis.Natural Language Processing (NLP): Analyzing and processing text data for insights and applications.Front-End Development: Building user-friendly web interfaces with React and JavaScript.AI System Design: Creating scalable systems to easily integrate AI models into applications.Team Collaboration: Working closely with teams to create innovative AI-based solutions.