Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Java, Sql, Tensorflow, Pytorch, MLops, Predictive Modeling, XGBoost, Clustering, Python, embeddings, Scikit-learn, Go, Forecasting, vector databases, Classification, recommendation systems, CI/CD, Fraud Detection, ranking

Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection

Java, Tensorflow, Machine Learning, Pytorch, Python, Cloud Platforms, R, AI Systems, scikit-learn

Java, Tensorflow, Pytorch, Python, Statistics, Machine learning pipelines and systems, scikit-learn, Scalable computing resources, Optimization, R, probability theory, Experimental methodologies, Cloud platforms, Machine learning algorithms and models, ML model development and deployment

Deep Learning, Keras, Pytorch, Java, Tensorflow, Python, Machine Learning, R, Data Analysis

Java, Python, C++, Distributed Systems, Scalability, SLO/SLA-driven environments, AI ML architectures and systems, GenAI services, Security, cost efficiency, Model serving, Proxy gateway layers, Observability, LLM inference, CI/CD practices

Video Codecs, Cuda, Pytorch, Python, Computer Vision, Git, video processing pipelines, model evaluation frameworks, inference optimization, MLOps tools, MLflow, streaming technologies, deep learning frameworks, attention mechanisms, PEFT, continuous experimentation infrastructure, CNNs, GPU-based training, LoRA, Weights Biases, Transformers

FastAPI, Java, C++, Data Structures, Redis, Django, Algorithms, Gcp, Flask, MongoDB, Python, AWS, LLM-based systems, Hugging Face, Go, Object-oriented programming, OpenAI API, CI/CD, SQL databases, AI-assisted coding tools, Gemini

data engineering , Sql, Python, Hadoop, Pyspark, Spark, Big Data processing frameworks