data preparation , tokenization , Personalization, Express, Node.js, React, Python, Recommendation engines, Prompt engineering, Model fine-tuning, Embedding-based retrieval, Vector databases, User behavior modeling, Model training, Conversational flow design

tokenization , Express, React, Node.js, Personalization, Python, conversational flow design, vector databases, user behavior modeling, embedding-based retrieval, prompt engineering, model fine-tuning, recommendation engines

Tensorflow, Pytorch, Python, scikit-learn

containerization , BigQuery, API design, Automated Testing, MLops, Gcp, Python, Computer Vision, Generative AI, Prompt engineering, Model versioning, Statistical models, Progressive deployment, Hybrid retrieval, Vector embeddings, Feature engineering, Cloud Run, Vertex AI, Multi-agent architectures

bedrock , Lambda, Pytorch, MLops, Docker, Spark, Kubernetes, Python, AWS, Etl, Hugging Face, Flink, CI CD, Monitoring, SageMaker, vector DBs

Java, Machine Learning, Natural Language Processing, Data Mining, Deep Learning, Tensorflow, Pytorch, Data Visualization, Python, Sci-kit, R, Statistical Modeling

snowflake , Sql, Microservices, React, FastAPI, Kubernetes, Python, Docker, Apis, Streamlit, Workflow orchestration, MLflow, LLM APIs, Vector databases, Embedding models, AI agents, Gradio, Multi-agent orchestration systems, Prompt engineering

Java, Keras, Natural Language Processing, Tensorflow, Devops, Data Management, Automation Tools, Machine Learning, AWS, Api Integration, Pytorch, Python, Kubernetes, Azure, Docker, Gcp, Jenkins, Git, data privacy security protocols, AI technologies, data pipeline development, R, ETL processes

Github, Docker, Azure, Kubernetes, Python, AWS, LLMs, Cloud platforms, Ai, MLflow, Lang Chain, prompt engineering, LangGraph, Agentic AI, basic DevOps, RAG, MLOps tools, ML engineering, GenAI frameworks