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

Slurm), Distributed systems (Kubernetes, GCP), Cloud platforms (AWS, Machine Learning, Azure, Python, Generative AI, Prompt engineering, Ray, Orchestration frameworks, Agentic workflows, Large Language Models

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

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

Keras, Sql, Java, Numpy, Pandas, Pytorch, Python, Docker, Javascript, OpenAI API, scikit-learn, Langchain, RAG

Sql, Python, time-series forecasting, Generative AI tooling, R, tree-based models, classical ML modeling, observability monitoring tools

Data Architecture, Ml, AWS, Python, Azure, Gcp, Apis, LLM integration, Ai, scalable backend systems, model evaluation, performance optimisation, prompt engineering