Python, cloud architectures, LLM frameworks and tools, enterprise systems

amazon emr , Tensorflow, Pytorch, Pyspark, Spark, Python, Sql, AWS, SageMaker, Generative AI, Advanced machine learning algorithms

graph databases , C#, Machine Learning, Neo4j, Python, Java, GenAI, Hugging Face, GLM, ASTs, Arango DB, LangGraph, Qwen, Agentic frameworks, RAG architectures, LangChain, LLMs, Ai, LSP, vLLM, AutoGen, Ollama, DeepSeek, Llama, Tree-sitter, OpenAI

Golang, Distributed Systems, Kafka, Typescript, Python, Java, Hadoop, Data Structures, Algorithms, Spark, Langchain, Flink, LLM serving and inference frameworks, LangGraph, MCP tool-calling, CrewAI, fine-tuning, secure agentic workflows, OAuth-based authentication, cloud platforms, prompt engineering, AutoGen, Retrieval-augmented generation, agent orchestration

RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Data Enrichment, Machine Learning, Summarization, Model Integration, Entity Extraction, Feature Engineering, Agent Orchestration Platforms, Context-aware Retrieval Systems, Transformer-based Models, Topic Modeling, Vector Databases

Retrieval-Augmented Generation (RAG), C#, C++, Clustering, Deep Learning, Numpy, Pytorch, Pandas, Decision Trees, Python, Etl, LangChain, Ensembles, CNNs, LangGraph

Tensorflow, Pytorch, Python, experiment tracking, Applied ML, Ai, data feature stores, model observability, MLOps best practices, CI/CD for models, evaluation frameworks, ML LLM systems

causal inference , Azure, Python, Sql, AWS, LangChain, LangGraph, Experiment design, Statistics, LlamaIndex, Llm