Networking, ELT, Docker, Terraform, Python, Databases, Apis, Data Modelling, Sql, Iam, Cloud Infrastructure, Kubernetes, Etl, data pipelines, CI CD, RAG tools, AI LLM systems, observability, AI-enabled workflows, evaluations, Monitoring, Agents, data access, backend services, Infrastructure-as-Code, ingestion

Rest Apis, Python, Sql

Distributed Systems, Cursor, Microservices, Typescript, Docker, Python, FastAPI, Kubernetes, AI-assisted Coding, LLM Fundamentals, AWS Bedrock, Qdrant, Agent Orchestration, Claude, Pinecone, GPT, Vector Databases, RAG Frameworks, Next.js, Dify, LangChain, Fine-tuning Strategies, DeepSeek, Milvus, Prompt Engineering, LlamaIndex

state management , Google Cloud Platform (GCP), Large Language Model (LLM)-native metrics, Application Programming Interfaces (APIs), Retrieval-Augmented Generation (RAG)-like architectures, Python, LangGraph, Observability frameworks, Evaluation pipelines, Vector databases, Multi-agent systems

API design, Distributed Systems, Python, AI/ML solutions, Semantic retrieval, Context engineering, AI engineering, Evaluations, SQL relational databases, Modern AI LLM concepts, Prompting agents, data infrastructure, Application layers, Gateway technologies, Cloud messaging, MCP tools

Big Data Technologies, Python, Machine Learning, MLops, prompt engineering, RAG pipelines, LLMs, open-source frameworks, numerical programming tools, vector databases

Python, Docker, Typescript, Linux, ML models, LLMs, Go

snowflake , Sql, TigerGraph, Gcp, Docker, Neo4j, Databricks, Restful Apis, Azure, Kubernetes, Python, AWS, Airflow, Ai, Prefect

Python, Sql, Java, Systems Integration, Scala, Typescript, Javascript, Databricks Data Intelligence Platform, ML/AI model integration, AI code generation tools, Data pipelines