Apis, Gcp, Docker, Azure, Python, Sql, AWS, LLM systems

Api Integration, Python, Sql, Generative AI, Snowflake Cortex AI, Enterprise AI application development, Foundry SDKs, Azure AI

Docker, Python, Kubernetes, MLOps practices, LLM orchestration frameworks, vector databases, RAG pipelines, prompt engineering

test automation, Jenkins, Typescript, Python, Test Architecture, Playwright, prompt engineering, GitHub Actions, LLM applications, CI/CD, RAG, context retrieval agents

bayesian inference , ACP (Adaptive Control Policies), causal inference , MCPs (Multi-Component Prompting), Cursor, Git, Gcp, Pytorch, Oracle, Azure, Python, AWS, LLMs, FastAI, CodeRabbit, Experimentation Science, DigitalOcean, GenAI, Agentic AI, reinforcement learning, Neural architectures, Fine-tuning

Sql, Distributed Systems, Python, Retrieval chunking, reinforcement learning, Guardrail design, Asynchronous messaging, Event-driven architecture, Text-to-SQL, Document AI, semantic search

containerization , Pyspark, Information Retrieval, Data Cleaning, Sql, Databricks, Python, Etl, Airflow, LLMs, RAG frameworks, knowledge graphs, cloud-native deployments, vector databases, prompt engineering, machine learning fundamentals, Temporal, infrastructure-as-code, dbt, CI/CD, feature engineering

snowflake , Retrieval-Augmented Generation (RAG), Large Language Model (LLM), ELT, Elasticsearch, Python, AWS, Pyspark, Sql, Pandas, Gcp, Spark, Databricks, Azure, Etl, DataLake, pgvector, Pinecone, OpenSearch, Chroma, Azure AI Search, LangChain, Generative AI, Airbyte, Vector databases, Semantic Kernel, Weaviate, LlamaIndex

Tensorflow, Pytorch, Python, Data ML pipelines, Applied statistics, Agentic architectures