Workflows, Pyspark, Data Governance, Data Lineage, Data Warehousing, Sql, Dimensional Modeling, ELT, Spark, Databricks, Python, Etl, Serverless compute, RAG frameworks, LLM integration, MLflow, Batch and real-time streaming data, Modern BI tools, Unity Catalog, Star schemas, Delta Lake

Reinforcement Learning from Human Feedback (RLHF, Cloud platforms (AWS, Vector databases (Pinecone, Azure, Python, Sql, Databases, Tensorflow, Deep Learning, Machine Learning, Pytorch, Gcp, Nlp, FAISS, Data pipeline design, Model fine-tuning, MLOps tools, Weaviate, Prompt engineering

Java, Golang, Devops, Webrtc, Kubernetes, Python, real-time audio, self-hosted Voice AI models, Agents, prompt engineering, Voice AI systems, Conversation Management, TTS, STT, Telephony, Audio Acquisition, Speech Generation, LLM-based applications

Sql, Java, Python, Nosql, Kubernetes, Restful Apis, Go, AI ML technologies, AI productivity tools

bedrock , Java, Lambda, Gcp, ECS, AWS, SageMaker

Production deployment., Python, Llm, RAG, Vector DB, LangChain/LangGraph, Agentic AI, + Tool Calling/MCP + Evaluation, Azure OpenAI/AWS Bedrock + FastAPI

S3, Tensorflow, Lambda, AWS, Pytorch, Node.js, Cloudformation, Ec2, Restful Apis, Scikit-learn, Hugging Face, SageMaker, microservices architecture

Java, Graphql, NGRX, SQL Server, Sass, Jasmine, Css3, Angular, Vue.JS, Typescript, Docker, Html5, Rxjs, Scss, Restful Apis, Azure, Jest, Karma, Cypress

Azure, AWS, Pytorch, Tensorflow, Python, Distributed Computing, Gcp, ML frameworks, cloud-native ML solutions, machine learning fundamentals, Statistical Modeling, Microservices architecture