Manjunadh Meka

I am an innovative AI Engineer with a solid foundation in computer science principles and a unique background in Civil Engineering. My journey has been driven by a passion for applying cutting-edge technology to solve complex, real-world problems. I specialize in the entire machine learning lifecycle, from data preprocessing and feature engineering to model optimization and deployment.

My technical expertise lies in Generative AI and Natural Language Processing, where I have hands-on experience building applications like a RAG-based medical chatbot using LangChain, Hugging Face models, and vector databases like FAISS. I am proficient in working with Large Language Models (LLMs), prompt engineering, and developing context-aware systems.

Beyond GenAI, I have a strong foundation in deep learning for specialized domains. I have engineered hybrid models, such as combining VGG-16 and ResNet-50 for COVID-19 classification from chest X-rays, achieving high accuracy by implementing a novel Coral Reef Optimization algorithm for hyperparameter tuning. I also have experience with advanced time-series analysis, demonstrated by my work on a Bi-LSTM with an Attention Mechanism for drought prediction, which was enhanced by an Improved Hunger Games Search optimizer.

My technical toolkit includes Python, TensorFlow, PyTorch, and various MLOps concepts for model deployment. I am a quick learner dedicated to leveraging AI to drive innovation and efficiency, and I am eager to contribute to challenging projects that push the boundaries of what's possible.