data wrangling , Python, model SDKs, AWS Strands, AWS Bedrock, GLM, Azure AI Foundry, LangGraph, DeepSeek, Qwen, vector DBs, Google Vertex AI

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

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

MCP (Model Context Protocol), Tcp, PostgreSQL, Containers, Concurrency, Ruby, Tls, Kubernetes, metrics, Network Services, Logging, Anthropic APIs, Go, Security, HTTP 1.1, Deployment pipelines, JSON streaming, HTTP 2, Authn/Authz, Tenant isolation, Profiling, Worker pools, Performance optimization, tracing, Queues, Observability

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

data engineering , ML Libraries (scikit-learn), Version Control (Git), PyTorch), Containerization (Docker), Deep Learning Frameworks (TensorFlow, Data Processing (pandas, Orchestration (Kubernetes), NumPy), Java, Spring Boot, Python, Machine Learning, Distributed Systems, Artificial Intelligence, Restful Services, Agentic AI, Microservices Architecture, API Design Principles, Event-driven Architectures

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

Celery, Neo4j, Elasticsearch, Python, FastAPI, Kubernetes, Airflow, pgvector, Argo Workflows, Qdrant, Pinecone, Prefect, OpenSearch, LangGraph, Temporal, DSPy, Microsoft AutoGen, Haystack, LangChain, CrewAI, PydanticAI, Semantic Kernel, Dagster, Milvus, Weaviate, LlamaIndex

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