Machine Learning Operations, Data preprocessing and feature engineering techniques, Cloud-based AI services

Data Science, Python, LangGraph, Statistical Modeling, Agentic Workflows using LangChain-based agents, Transformer architecture, Fine-tuning techniques for LLMs

Apis, Performance Monitoring, Version Control, Gcp, MLops, Azure, Python, Statistical Analysis, Machine Learning Algorithms, AWS, data preprocessing, cloud platforms, production-ready ML pipelines, model evaluation, deep learning techniques, feature engineering, model lifecycle management, model optimization, hyperparameter tuning

data engineering , Ml, FastAPI, Kubernetes, Python, AWS EKS, Nlp, Celery, Sqlalchemy, confidence calibration techniques, Airflow, Claude API, vector database, Ai, Pydantic, LLM output validation frameworks, embedding models, Weaviate, pgvector, semantic search, data ingestion pipelines, Pinecone, LLM evaluation frameworks, prompt engineering

Github, Json, Tensorflow, Numpy, Git, Pandas, Gcp, Pytorch, Docker, Rest Apis, Azure, Kubernetes, Python, AWS, scikit-learn, LLM application patterns, RAG

containerization , Hadoop Ecosystem, Java, Tableau, Data Visualization, Kafka, Machine Learning, Power Bi, MySQL, Bi Tools, Scala, PostgreSQL, Flume, Big Data Technologies, Shell scripting, Data Modeling, RDBMS, Google Cloud, AWS, Distributed Systems, Python, Azure, Statistical Analysis, Jenkins, Devops Tools, MongoDB, Spark, large-scale application development, CI CD pipelines, R, NoSQL databases