Servicenow, Machine Learning, Artificial Intelligence, C++, Google Cloud, Tensorflow, Data Science, Git, Pytorch, Gcp, Python, RAGAS, Architect, Consulting, experimentation

MCP (Model Context Protocol), Tcp, PostgreSQL, Containers, Concurrency, Ruby, Tls, Kubernetes, Anthropic APIs, Go, Security, HTTP 1.1, Deployment pipelines, JSON streaming, HTTP 2

Java, Sql, MLops, Python, LangChain, LLaMA, Data preprocessing, LLMOps, Claude, Pinecone, vLLM, Feature engineering, LMDeploy, LangGraph, FAISS, Milvus, OpenAI, Gemini, Weaviate, Model evaluation

Spark SQL, Tensorflow, Pytorch, Linux, Apache Kafka, Databricks, Api, Keras, Python, Gemini API, Ai, OpenAI API, Apache Parquet, AI Evaluation, low latency, Responsible AI, Claude API, Gemini, Model Quantisation, Prompt Injection

Tcp, PostgreSQL, Containers, Json, Http, Concurrency, Ruby, Tls, Kubernetes, Profiling, Go, Observability

Prometheus, Grafana, Kubernetes, Python, RDMA, GitOps, Go, NVSwitch, Volcano, NVIDIA NVL72 GB300, OpenTelemetry, KAI, NVLink, GPU scheduling, YuniKorn, Kueue, Slurm

Tensorflow, Cloud Services, Pytorch, Python, machine learning frameworks, AI-based video processing, DevOps practices, Azure AI, video analytics

Phoenix, Datadog, Python, LLM-based systems, OpenTelemetry, Langfuse, evaluation frameworks, multi-agent environment, Arize

Databases, Apis, Distributed Systems, System Design, AI reliability evaluations, production risks, message queues, LLM products, product analytics, Infrastructure, Caching, frontend systems, agentic AI systems, prompting, RAG, guardrails