Nagaraju D.

Machine Learning Engineer specializing in medical image analysis, deep learning, RAG pipelines, LLM development, generative AI and time series forecasting — delivering production-ready AI systems built on real-world data. I help researchers, startups and enterprises turn complex data — medical images, documents, sensor signals and time series — into reliable machine learning systems for detection, classification, prediction and intelligent automation. Every project I deliver is a working, documented system — not a research prototype. 🔬 Medical Image Analysis & Computer Vision I develop deep learning models for medical imaging and computer vision applications including image classification, object detection and semantic segmentation. Work covers MRI, CT, X-ray, whole slide image analysis, histopathology and EEG/ECG biosignal processing. Models: YOLOv8, UNet, ViT, EfficientNet, ResNet, Mask RCNN, SAM Frameworks: PyTorch, TensorFlow, OpenCV 🤖 RAG Pipelines, LLM & Generative AI I build retrieval-augmented generation systems, AI agents and custom LLM chatbots for enterprise and research use. Work covers document Q&A, knowledge base search, LLM fine-tuning and AI workflow automation. Tools: LangChain, LlamaIndex, OpenAI GPT, LLaMA, Mistral, HuggingFace Vector DBs: ChromaDB, Pinecone, FAISS 📈 Time Series Forecasting & Anomaly Detection I build forecasting and anomaly detection models for finance, retail, IoT, energy and industrial domains. Work covers demand forecasting, predictive maintenance, multivariate time series and real-time anomaly detection. Models: LSTM, Transformer, Prophet, XGBoost, LightGBM Message me with your project — I will tell you exactly what is achievable and the best approach for your data.