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

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

Git, Python Programming, Lang Chain and Lang Graph, Experience with Lang fuse, Understanding of agentic design patterns and workflow orchestration, Working with Databricks and modern data platforms, Prompt engineering and context engineering, RAG embeddings semantic search

data preparation , prophet , Machine Learning, Sql, Tensorflow, Data Science, Pandas, Pytorch, Docker, Arima, Python, LSTMs, Airflow, scikit-learn, LightGBM, MLflow, time-series forecasting, Sagemaker, AWS Cloud Platform, data quality assessment, Transformers, MLOps tools, statsmodels

Spark, Sql, Kafka, Machine Learning, MLops, AWS, Python, Kubernetes, Docker, Ai, anomaly detection, Time-series forecasting, Real-time data processing

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

Machine Learning, Databricks, Python, Sql, Deep Learning, Graph Modelling, Knowledge Graphs, Identity Access Graph