Java, Power Platform, Tensorflow, Pytorch, MLops, Docker, Databricks, Azure, Kubernetes, Python, AWS, scikit-learn, Microsoft Co-Pilot Studio, R

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

.NET, Rest Api, Devops, React, Docker, Flutter, Azure, Azure DevOps, LLMs, AKS, prompt engineering, RAG

Automated Testing, Application Monitoring, Celery, Python, AWS, Version Control, Redis, Sql, Data Governance, Containers, FastAPI, Azure, GenAI, cloud-native delivery, asynchronous processing, CI CD, LangGraph, responsible AI, Azure Service Bus, workflow automation, RAG pipelines, LLM solutions, LangChain, privacy security, document intelligence, infrastructure-as-code, AI agents, LlamaIndex

data engineering , Machine Learning, Software Engineering, system integration, Application Architecture, Rest Apis, Python, Generative AI technologies, Ai

Python Programming, agentic systems, applied AI workflows, AI libraries, AI-assisted development tools, LLM integration, RAG multi-agent frameworks, workflow orchestration systems

MLOps tools (MLflow, Vector databases (Pinecone, Weights & Biases, ChromaDB), Kubeflow), Api Development, Tensorflow, System integration, Git, Pytorch, Docker, Python, Kubernetes, RAG embeddings, Milvus, Cloud-native environments, CI/CD, AI agents, Multi-agent architectures, FAISS

Rest Api, Python, AWS, Chatbot Agentic AI usecases, Generative AI, Managed vector hybrid search tuning, RAG system, Responsible-AI, Amazon Bedrock, LLM evaluation, prompt engineering

Rest API Development, Ocr, Python, AWS, Generative AI, AWS Bedrock, Vector databases, AI engineering, Document Processing