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

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

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

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

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

Incident Response, Elasticsearch, LangChain, CrewAI, Pipelines, Documentation, Agent Orchestration, analysis plan, agent-based modeling, Product Architecture, Workflow Orchestration, LangGraph, Design, Distributed Generation System Performance Monitoring Management, Operations, Haystack

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