Sql, Tensorflow, Azure ML, Pytorch, Cloud, Docker, XGBoost, FastAPI, Kubernetes, Python, AWS, LangChain, scikit-learn, Pinecone, Azure OpenAI, OpenAI API, SageMaker, Vector Databases, RAG pipelines, ChromaDB, Weaviate, LlamaIndex

Gcp, Docker, Azure, Kubernetes, Python, AWS, GenAI, Vector DB, Lang Graph, Pinecone, Autogen, Chroma, AgencticAI, FAISS, Llamaindex, Weaviate

Azure, Python, AWS, GenAI Agentic AI concepts and framework, RAG Architectures, Llm

Java, Machine Learning, Dynamodb, Deep Learning, Lambda, Ec2, Cloudwatch, Python, Api Gateway, AWS, Vector databases, Large language model integrations, SageMaker, Embedding models

Node.js, Cloud deployment, REST, Flask, FastAPI, Python, LangChain, pgvector, Pinecone, Azure OpenAI, Anthropic OSS models, LangGraph, FAISS, OpenAI, Weaviate

MLops, Azure Machine Learning, Python, CrewAI, LangChain, Azure Data Compute services, Azure OpenAI Service, Google ADK, Azure AI Search Cognitive Search

snowflake , Aws Lambda, Jenkins, Git, Hive, Linux, Terraform, Gitlab, Bash, Bamboo, Oracle, Python, LangChain, AI LLM engineering, ruby scripting, Anthropic, Snowflake Cortex, Azure OpenAI, AI ML pipelines, OpenAI, LlamaIndex

Python, Sql, embeddings, AWS Bedrock, Financial services industry, SLMs, auditability controls, DDP, retrieval systems, Agentic AI systems, Fine-tuning models, performance cost optimization, Evaluation frameworks, Claude Code, Distributed compute training concepts, sharding, GitHub Copilot, SageMaker, LoRA, regulated environments, DoRA, Developer productivity tooling, Data Handling, QLoRA

Tensorflow, Typescript, Pytorch, XGBoost, Python, embeddings, knowledge graphs, scikit-learn, LightGBM, vector caching, vector databases, graph networks, AI agents, CatBoost, agent orchestration