Cloud Architecture, Devops, Git, Pandas, MLops, Gcp, Docker, FastAPI, Azure, Python, vector search, reranking models, unstructured data embedding, LLM applications, Langfuse, RAG, document parsing

Cloud deployment, Scalability, Gcp, System Design, Python, AWS, modern backend frameworks, LLMs, DevOps practices, Reliability, agent-based systems, multi-agent workflows, model optimization

Docker, FastAPI, Kubernetes, Python, CI CD pipelines, Kubeflow, MLflow

Python, LangChain, LangGraph, Cloud Platforms, Embeddings, LLMs, Azure AI, AI Frameworks, Vector Search, Retrieval-Augmented Generation, Copilot Studio

pruning , Machine Learning, Cpu, Gpu, Pytorch, GGML, TensorRT, llama.cpp, acceleration, NPU, ONNX Runtime, real-time systems, ML frameworks, quantization, model optimization

Python, embeddings, model fine-tuning, model evaluation, AI agents, NLP concepts, prompt engineering

Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, Gen AI, LangGraph, LLMOps practices, DeepSeek, Qwen, Google Vertex AI, vector DBs

Data Security, Kafka, Sql, Spark, Data Governance, Databricks, Python, data pipelines, ClickHouse, Flink, AI applications, data models, dbt

Machine Learning, Artificial Intelligence, ELT, Gcp, Databricks, Azure, Etl, AWS, LangChain, CrewAI, multi-agent systems, data pipelines, data engineering workflows, workflow orchestration, model integration and orchestration, Agentic AI applications, agent frameworks, AutoGen, LangGraph, business intelligence solutions, AI agents, cloud-native platforms

Node.js, Python, API services, Go, LLM application development, vector databases, Monitoring, Caching, AI coding tools, performance optimization, RAG pipelines, Deployment