Tensorflow, BigQuery, Machine Learning, Jax, Google Cloud Platform, MLops, DataFlow, Python, Scikit-learn, Ai, Beam

Memory Management, Python, AWS, Java, Scala, Apache Spark, Gcp, MLops, Databricks, Azure, model training, tool integrations, vector embeddings, retrieval systems, NLP techniques, semantic search, model monitoring, LLMOps, retraining strategies, drift detection, feature engineering, ML frameworks, prompt design, context orchestration

Github, BigQuery, Google Cloud Platform, PostgreSQL, Jira, Django, Cloud Storage, FastAPI, DataFlow, Python, LangChain, vector databases, Cloud Run, Vertex AI, AI agents, GenAI orchestration frameworks, RAG pipelines, Google ADK

Java, Cassandra, PostgreSQL, Dynamodb, Kafka, Redis, Sql, Tensorflow, Nosql, Pytorch, Docker, MySQL, Spark, Kubernetes, Python, Go

Ml, MLops, Python, Computer Vision, Aerospace, Ai

Csv, PowerShell, Pytest, Node.js, Json, Python, LangChain, GitHub Copilot, Azure OpenAI

FastAPI, LangChain, embedding pipelines, idempotency, message queues, Anthropic APIs, distributed systems patterns, Pinecone, prompt engineering, AutoGen, LangGraph, Python 3.10, asyncio, FAISS, Vertex Matching Engine, structured logging, event-driven architecture

triton , Cuda, Kubernetes, Python, NVIDIA Dynamo, AI-native systems architecture, orchestration frameworks, llm-d, XGMI, RoCE, AI-native applications, Go, TensorRT, inference workloads, SGLang, ROCm, vLLM, Ray Serve, NVLink, NCCL, RCCL, agentic runtimes