Theertha Rajeevan

I build AI systems that work in the real world. Over the past 2+ years as an AI/ML Engineer at IMMCO Inc, I've worked on end-to-end machine learning pipelines — from data preparation and model training to API integration and deploying scalable applications in production. At IMMCO, I built a chatbot using LLMs and RAG architecture — handling document retrieval, context-aware response generation, and API integration for real-world deployment. My core focus areas: Large Language Models, Generative AI, Computer Vision, and NLP. I work primarily in Python, using TensorFlow, PyTorch, LangChain, and RAG-based architectures to solve real-world problems. Before IMMCO, I built projects including a real-time fire detection system (CNN + TensorFlow), a fog detection alert system for traffic safety, and an air quality prediction model — all hands-on, end-to-end. I'm actively exploring opportunities in AI/ML Engineering, GenAI, and LLM-based product development