Aws Lambda, Rest Apis, Python, LLM applications, Amazon Bedrock, AWS SageMaker, Vector Databases, LLM optimization techniques, LangChain, Embedding Models, MLOps practices, Agentic AI, microservices architecture, prompt engineering, Generative AI, model deployment strategies, AI Agents RAG pipelines, LangGraph

Sql, Rest Apis, Python, LangChain, vector search, Generative AI, AWS Bedrock, AI Agents, embeddings vector databases, Amazon Bedrock Knowledge Bases, Gen AI, LangGraph, data-processing, LlamaIndex, Prompt Engineering

Databricks, Tensorflow, Kafka, MLops, Pytorch, Node.js, Flask, Azure DevOps, Azure ML, Azure Data Factory, FastAPI, Kubernetes, Python, Docker, Jenkins, Airflow, Synapse, LLMOps, LangChain, AWS Bedrock, CrewAI, GitHub Actions, MLflow, Scikit-learn, Google ADK, SageMaker, GitLab CI CD, GCP Vertex AI

data wrangling , Matplotlib, Github, Machine Learning, Power Bi, Git, Data Visualization, Databricks, Seaborn, Python, Statistical Analysis, GenAI Integration, Gen AI project exposure, ETL Pipelines

Kubernetes, AWS, FastAPI, Python, Docker, Nlp, GPT Gen AI, Text-to-Speech, Text-to-video

Python 2, Machine Learning, Data Modeling, Artificial Intelligence, Big Data, Sql