Java, Nosql, Restful Apis, Kubernetes, Python, Sql, AI productivity tools, Go, AI ML technologies

Kotlin, Cursor, React, Typescript, Python, LangChain, embeddings, LLMs, Claude, industrial data, prompt engineering, AI ML Engineering, supply chain data, Knowledge Graph, Code Copilot

Machine Learning, Nlp, Docker, Python, AWS, Gcp, Rest Apis, Azure, Prompt engineering, Model monitoring, Data preprocessing, Microservices architecture, Feature engineering, MLOps tools, RAG pipelines, LangChain, LLMs, Vector databases, Drift detection, Elastic OpenSearch, FAISS, Embedding models, Google ADK, Model evaluation

cloud security, Distributed Systems, LangChain, AWS Bedrock, pgvector, Embeddings and prompt engineering, Vector databases, Qdrant, Pinecone, scalable backend architecture, LangGraph, MCP Model Context Protocol, Google Vertex AI, Milvus, Weaviate, Generative AI LLMs, RAG architectures

Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

secure coding , Argo, Solid Principles, Gcp, MLops, Sonarqube, Azure, Kubernetes, Python, AWS, CrewAI, Airflow, mypy, Static Analysis, MLflow, Bandit, LangGraph, AutoGen, ruff, Kubeflow, LlamaIndex

Apis, Json, Sql, Debugging, Python Programming, workflow observability, Data Analysis, Agentic Systems, LLMOps, traditional Machine Learning models, semi-deterministic testing frameworks, LangGraph, LLM Evaluation frameworks, MLOps practices, LLM APIs, RAG, MCP, deterministic testing frameworks

Python, Microsoft Azure, AI coding assistants, AI evaluation frameworks

.NET, .Net Core, Machine Learning, Kafka, Sql, Deep Learning, Microservices, Tensorflow, Rabbitmq, Gcp, Pytorch, Restful Apis, Azure, Python, AWS, Ai